compression_rate.csv

.17976031957390146471 ./datajourneys/0-cpe-getting-familier-with-problem-and-dataset_DJ.digraph 1232 ./datajourneys/0-cpe-getting-familier-with-problem-and-dataset_DN.digraph 1502
.75757575757575757575 ./datajourneys/1-house-prices-solution-top-1_DJ.digraph 480 ./datajourneys/1-house-prices-solution-top-1_DN.digraph 1980
.90538764783180026281 ./datajourneys/1-mpnn_DJ.digraph 72 ./datajourneys/1-mpnn_DN.digraph 761
.92660550458715596330 ./datajourneys/1-quick-start-read-csv-and-flatten-json-fields_DJ.digraph 8 ./datajourneys/1-quick-start-read-csv-and-flatten-json-fields_DN.digraph 109
.83040935672514619883 ./datajourneys/1-smart-robots-most-complete-notebook_DJ.digraph 435 ./datajourneys/1-smart-robots-most-complete-notebook_DN.digraph 2565
.72079772079772079772 ./datajourneys/10-classifier-showdown-in-scikit-learn_DJ.digraph 98 ./datajourneys/10-classifier-showdown-in-scikit-learn_DN.digraph 351
.83091787439613526570 ./datajourneys/10-steps-to-become-a-data-scientist_DJ.digraph 35 ./datajourneys/10-steps-to-become-a-data-scientist_DN.digraph 207
.93560975609756097560 ./datajourneys/1st-place-reproduction-10feats-dev_DJ.digraph 132 ./datajourneys/1st-place-reproduction-10feats-dev_DN.digraph 2050
.77241379310344827586 ./datajourneys/1st-place-solution-part-1-hands-on-data_DJ.digraph 132 ./datajourneys/1st-place-solution-part-1-hands-on-data_DN.digraph 580
.87446259673258813413 ./datajourneys/20-ml-algorithms-15-plot-for-beginners_DJ.digraph 146 ./datajourneys/20-ml-algorithms-15-plot-for-beginners_DN.digraph 1163
.70332996972754793138 ./datajourneys/200-magical-models-santander-0-920_DJ.digraph 294 ./datajourneys/200-magical-models-santander-0-920_DN.digraph 991
.80118694362017804154 ./datajourneys/2019-data-science-bowl-eda_DJ.digraph 268 ./datajourneys/2019-data-science-bowl-eda_DN.digraph 1348
.78756476683937823834 ./datajourneys/2019-data-science-bowl-via-autoviml_DJ.digraph 41 ./datajourneys/2019-data-science-bowl-via-autoviml_DN.digraph 193
.76100628930817610062 ./datajourneys/25-million-images-0-99757-mnist_DJ.digraph 114 ./datajourneys/25-million-images-0-99757-mnist_DN.digraph 477
.64567901234567901234 ./datajourneys/3-clusters-per-class-0-975_DJ.digraph 287 ./datajourneys/3-clusters-per-class-0-975_DN.digraph 810
.78795180722891566265 ./datajourneys/3d-convolutions-understanding-use-case_DJ.digraph 88 ./datajourneys/3d-convolutions-understanding-use-case_DN.digraph 415
.85049833887043189368 ./datajourneys/5-fold-lstm-attention-fully-commented-0-694_DJ.digraph 135 ./datajourneys/5-fold-lstm-attention-fully-commented-0-694_DN.digraph 903
.80373831775700934579 ./datajourneys/6-ways-for-feature-selection_DJ.digraph 84 ./datajourneys/6-ways-for-feature-selection_DN.digraph 428
.97744014732965009208 ./datajourneys/797-lgbm-and-bayesian-optimization_DJ.digraph 49 ./datajourneys/797-lgbm-and-bayesian-optimization_DN.digraph 2172
.66666666666666666666 ./datajourneys/a-baseline-for-dsb-2019_DJ.digraph 31 ./datajourneys/a-baseline-for-dsb-2019_DN.digraph 93
.85205479452054794520 ./datajourneys/a-beginner-guide-for-sale-data-prediction_DJ.digraph 108 ./datajourneys/a-beginner-guide-for-sale-data-prediction_DN.digraph 730
.80528846153846153846 ./datajourneys/a-complete-ml-pipeline-fast-ai_DJ.digraph 324 ./datajourneys/a-complete-ml-pipeline-fast-ai_DN.digraph 1664
.80758226037195994277 ./datajourneys/a-data-science-framework-to-achieve-99-accuracy_DJ.digraph 269 ./datajourneys/a-data-science-framework-to-achieve-99-accuracy_DN.digraph 1398
.76030927835051546391 ./datajourneys/a-deep-dive-into-sklearn-pipelines_DJ.digraph 93 ./datajourneys/a-deep-dive-into-sklearn-pipelines_DN.digraph 388
.71428571428571428571 ./datajourneys/a-deeper-understanding-of-deep-learning_DJ.digraph 6 ./datajourneys/a-deeper-understanding-of-deep-learning_DN.digraph 21
.72327044025157232704 ./datajourneys/a-detailed-explanation-of-keras-embedding-layer_DJ.digraph 88 ./datajourneys/a-detailed-explanation-of-keras-embedding-layer_DN.digraph 318
.85382262996941896024 ./datajourneys/a-detailed-regression-guide-with-house-pricing_DJ.digraph 239 ./datajourneys/a-detailed-regression-guide-with-house-pricing_DN.digraph 1635
.81286894923258559622 ./datajourneys/a-guide-for-aspiring-data-scientists_DJ.digraph 317 ./datajourneys/a-guide-for-aspiring-data-scientists_DN.digraph 1694
.73371924746743849493 ./datajourneys/a-journey-through-titanic_DJ.digraph 184 ./datajourneys/a-journey-through-titanic_DN.digraph 691
.91344383057090239410 ./datajourneys/a-keras-prototype-0-21174-on-pl_DJ.digraph 47 ./datajourneys/a-keras-prototype-0-21174-on-pl_DN.digraph 543
.69171483622350674373 ./datajourneys/a-linear-model-on-apps-and-labels_DJ.digraph 160 ./datajourneys/a-linear-model-on-apps-and-labels_DN.digraph 519
.74424552429667519181 ./datajourneys/a-look-at-different-embeddings_DJ.digraph 200 ./datajourneys/a-look-at-different-embeddings_DN.digraph 782
.88898450946643717728 ./datajourneys/a-look-at-russian-kagglers-over-time_DJ.digraph 129 ./datajourneys/a-look-at-russian-kagglers-over-time_DN.digraph 1162
.82370517928286852589 ./datajourneys/a-method-to-valid-offline-lb-9506_DJ.digraph 177 ./datajourneys/a-method-to-valid-offline-lb-9506_DN.digraph 1004
.87623762376237623762 ./datajourneys/a-new-baseline-for-dsb-2019-catboost-model_DJ.digraph 75 ./datajourneys/a-new-baseline-for-dsb-2019-catboost-model_DN.digraph 606
.94111874386653581943 ./datajourneys/a-quick-simple-eda_DJ.digraph 60 ./datajourneys/a-quick-simple-eda_DN.digraph 1019
.89990375360923965351 ./datajourneys/a-self-learning-tic-tac-toe-program_DJ.digraph 104 ./datajourneys/a-self-learning-tic-tac-toe-program_DN.digraph 1039
.91053391053391053391 ./datajourneys/a-simple-model-using-the-market-and-news-data_DJ.digraph 62 ./datajourneys/a-simple-model-using-the-market-and-news-data_DN.digraph 693
.77007874015748031496 ./datajourneys/a-simple-nn-solution-with-keras-0-48611-pl_DJ.digraph 146 ./datajourneys/a-simple-nn-solution-with-keras-0-48611-pl_DN.digraph 635
.75652173913043478260 ./datajourneys/a-simple-tutorial-on-exploratory-data-analysis_DJ.digraph 196 ./datajourneys/a-simple-tutorial-on-exploratory-data-analysis_DN.digraph 805
.89579288025889967637 ./datajourneys/a-validation-framework-impact-of-the-random-seed_DJ.digraph 161 ./datajourneys/a-validation-framework-impact-of-the-random-seed_DN.digraph 1545
.63487738419618528610 ./datajourneys/a-very-extensive-landmark-exploratory-analysis_DJ.digraph 134 ./datajourneys/a-very-extensive-landmark-exploratory-analysis_DN.digraph 367
.85427872860635696821 ./datajourneys/a-visual-and-insightful-journey-donorschoose_DJ.digraph 596 ./datajourneys/a-visual-and-insightful-journey-donorschoose_DN.digraph 4090
.37500000000000000000 ./datajourneys/a1-demo-pandas-and-uci-adult-dataset_DJ.digraph 10 ./datajourneys/a1-demo-pandas-and-uci-adult-dataset_DN.digraph 16
.84259259259259259259 ./datajourneys/advanced-uses-of-shap-values_DJ.digraph 17 ./datajourneys/advanced-uses-of-shap-values_DN.digraph 108
.69849246231155778894 ./datajourneys/adversarial-ieee_DJ.digraph 120 ./datajourneys/adversarial-ieee_DN.digraph 398
.68054298642533936651 ./datajourneys/airbnb-the-amsterdam-story-with-interactive-maps_DJ.digraph 353 ./datajourneys/airbnb-the-amsterdam-story-with-interactive-maps_DN.digraph 1105
.67245119305856832971 ./datajourneys/airbus-ship-detection-data-visualization_DJ.digraph 604 ./datajourneys/airbus-ship-detection-data-visualization_DN.digraph 1844
.74916387959866220735 ./datajourneys/alice-logistic-regression-baseline_DJ.digraph 75 ./datajourneys/alice-logistic-regression-baseline_DN.digraph 299
.79679144385026737967 ./datajourneys/aligned-timestamp-lgbm-by-meter-type_DJ.digraph 304 ./datajourneys/aligned-timestamp-lgbm-by-meter-type_DN.digraph 1496
.97520661157024793388 ./datajourneys/all-classes-light-curve-characteristics-updated_DJ.digraph 15 ./datajourneys/all-classes-light-curve-characteristics-updated_DN.digraph 605
.88597210828547990155 ./datajourneys/all-that-you-need-to-know-about-the-android-market_DJ.digraph 139 ./datajourneys/all-that-you-need-to-know-about-the-android-market_DN.digraph 1219
.72068511198945981554 ./datajourneys/am-i-over-fitting_DJ.digraph 212 ./datajourneys/am-i-over-fitting_DN.digraph 759
.82256020278833967046 ./datajourneys/an-interactive-data-science-tutorial_DJ.digraph 140 ./datajourneys/an-interactive-data-science-tutorial_DN.digraph 789
.89348419820522824814 ./datajourneys/an-interactive-deep-dive-into-survey-results_DJ.digraph 273 ./datajourneys/an-interactive-deep-dive-into-survey-results_DN.digraph 2563
.69819819819819819819 ./datajourneys/an-overview-of-encoding-techniques_DJ.digraph 134 ./datajourneys/an-overview-of-encoding-techniques_DN.digraph 444
.82868525896414342629 ./datajourneys/analysis-on-indian-import-export_DJ.digraph 86 ./datajourneys/analysis-on-indian-import-export_DN.digraph 502
.94213973799126637554 ./datajourneys/analyzing-quora-for-the-insinceres_DJ.digraph 53 ./datajourneys/analyzing-quora-for-the-insinceres_DN.digraph 916
.89642416769420468557 ./datajourneys/analyzing-soccer-player-faces_DJ.digraph 168 ./datajourneys/analyzing-soccer-player-faces_DN.digraph 1622
.84175531914893617021 ./datajourneys/andrews-script-plus-a-genetic-program-model_DJ.digraph 238 ./datajourneys/andrews-script-plus-a-genetic-program-model_DN.digraph 1504
.81914893617021276595 ./datajourneys/applying-text-mining_DJ.digraph 102 ./datajourneys/applying-text-mining_DN.digraph 564
.72638634978671541742 ./datajourneys/approaching-almost-any-nlp-problem-on-kaggle_DJ.digraph 449 ./datajourneys/approaching-almost-any-nlp-problem-on-kaggle_DN.digraph 1641
.86864931846344485749 ./datajourneys/aptos-2019-densenet-keras-starter_DJ.digraph 106 ./datajourneys/aptos-2019-densenet-keras-starter_DN.digraph 807
.95255813953488372093 ./datajourneys/aptos-2019-keras-baseline_DJ.digraph 51 ./datajourneys/aptos-2019-keras-baseline_DN.digraph 1075
.93591905564924114671 ./datajourneys/aptos-eye-preprocessing-in-diabetic-retinopathy_DJ.digraph 76 ./datajourneys/aptos-eye-preprocessing-in-diabetic-retinopathy_DN.digraph 1186
.92852415618795499669 ./datajourneys/aptos-resnet50-baseline_DJ.digraph 108 ./datajourneys/aptos-resnet50-baseline_DN.digraph 1511
.75000000000000000000 ./datajourneys/ashrae-divide-and-conquer_DJ.digraph 211 ./datajourneys/ashrae-divide-and-conquer_DN.digraph 844
.76599808978032473734 ./datajourneys/ashrae-eda-fe-lightgbm-1-12_DJ.digraph 245 ./datajourneys/ashrae-eda-fe-lightgbm-1-12_DN.digraph 1047
.95238095238095238095 ./datajourneys/ashrae-energy-prediction-using-stratified-kfold_DJ.digraph 45 ./datajourneys/ashrae-energy-prediction-using-stratified-kfold_DN.digraph 945
.76879699248120300751 ./datajourneys/ashrae-half-and-half_DJ.digraph 123 ./datajourneys/ashrae-half-and-half_DN.digraph 532
.87758112094395280235 ./datajourneys/ashrae-kfold-lightgbm-without-leak-1-08_DJ.digraph 83 ./datajourneys/ashrae-kfold-lightgbm-without-leak-1-08_DN.digraph 678
.74281150159744408945 ./datajourneys/ashrae-leak-validation-and-more_DJ.digraph 161 ./datajourneys/ashrae-leak-validation-and-more_DN.digraph 626
.94766619519094766619 ./datajourneys/ashrae-simple-data-cleanup-lb-1-08-no-leaks_DJ.digraph 37 ./datajourneys/ashrae-simple-data-cleanup-lb-1-08-no-leaks_DN.digraph 707
.79497907949790794979 ./datajourneys/ashrae-stacked-regression-lasso-ridge-lgbm_DJ.digraph 147 ./datajourneys/ashrae-stacked-regression-lasso-ridge-lgbm_DN.digraph 717
.84186401833460656990 ./datajourneys/ashrae-training-lgbm-by-meter-type_DJ.digraph 207 ./datajourneys/ashrae-training-lgbm-by-meter-type_DN.digraph 1309
.89589041095890410958 ./datajourneys/association-rules-mining-market-basket-analysis_DJ.digraph 38 ./datajourneys/association-rules-mining-market-basket-analysis_DN.digraph 365
.75429975429975429975 ./datajourneys/atomic-distance-benchmark_DJ.digraph 100 ./datajourneys/atomic-distance-benchmark_DN.digraph 407
.87481146304675716440 ./datajourneys/automated-feature-engineering-basics_DJ.digraph 83 ./datajourneys/automated-feature-engineering-basics_DN.digraph 663
.78305785123966942148 ./datajourneys/autonomous-driving-introduction-data-review_DJ.digraph 105 ./datajourneys/autonomous-driving-introduction-data-review_DN.digraph 484
.69490196078431372549 ./datajourneys/avito-eda-fe-time-series-dt-visualization_DJ.digraph 389 ./datajourneys/avito-eda-fe-time-series-dt-visualization_DN.digraph 1275
.88317757009345794392 ./datajourneys/awesome-deep-learning-with-cnn-mnist-classifier_DJ.digraph 25 ./datajourneys/awesome-deep-learning-with-cnn-mnist-classifier_DN.digraph 214
.90433585684790089470 ./datajourneys/baseline-u-net-model-part-1_DJ.digraph 139 ./datajourneys/baseline-u-net-model-part-1_DN.digraph 1453
.82343234323432343234 ./datajourneys/baseline-with-news_DJ.digraph 107 ./datajourneys/baseline-with-news_DN.digraph 606
.80105718404613166746 ./datajourneys/baselinemodeling_DJ.digraph 414 ./datajourneys/baselinemodeling_DN.digraph 2081
.44444444444444444444 ./datajourneys/basic-data-exploration_DJ.digraph 10 ./datajourneys/basic-data-exploration_DN.digraph 18
.86800000000000000000 ./datajourneys/basic-eda-data-visualization_DJ.digraph 66 ./datajourneys/basic-eda-data-visualization_DN.digraph 500
.59420289855072463768 ./datajourneys/basic-exploration-of-the-ai-report-data_DJ.digraph 28 ./datajourneys/basic-exploration-of-the-ai-report-data_DN.digraph 69
.62500000000000000000 ./datajourneys/basic-feature-benchmark_DJ.digraph 96 ./datajourneys/basic-feature-benchmark_DN.digraph 256
.78279883381924198250 ./datajourneys/basic-machine-learning-with-cancer_DJ.digraph 149 ./datajourneys/basic-machine-learning-with-cancer_DN.digraph 686
.76590636254501800720 ./datajourneys/be-careful-what-you-train-on_DJ.digraph 195 ./datajourneys/be-careful-what-you-train-on_DN.digraph 833
.73869731800766283524 ./datajourneys/beating-everything-with-depthwise-convolution_DJ.digraph 341 ./datajourneys/beating-everything-with-depthwise-convolution_DN.digraph 1305
.83838383838383838383 ./datajourneys/beginner-s-guide-nn-with-multichannel-input_DJ.digraph 112 ./datajourneys/beginner-s-guide-nn-with-multichannel-input_DN.digraph 693
.90955631399317406143 ./datajourneys/beginner-s-guide-to-audio-data-2_DJ.digraph 159 ./datajourneys/beginner-s-guide-to-audio-data-2_DN.digraph 1758
.77665706051873198847 ./datajourneys/beginner-s-guide-to-audio-data_DJ.digraph 310 ./datajourneys/beginner-s-guide-to-audio-data_DN.digraph 1388
.94439541041482789055 ./datajourneys/beginner-s-guide-to-capsule-networks_DJ.digraph 63 ./datajourneys/beginner-s-guide-to-capsule-networks_DN.digraph 1133
.82608695652173913043 ./datajourneys/beginner-s-tutorial-python_DJ.digraph 28 ./datajourneys/beginner-s-tutorial-python_DN.digraph 161
.94776119402985074626 ./datajourneys/beginners-guide-to-text-generation-using-lstms_DJ.digraph 21 ./datajourneys/beginners-guide-to-text-generation-using-lstms_DN.digraph 402
.79720279720279720279 ./datajourneys/benchmark_DJ.digraph 29 ./datajourneys/benchmark_DN.digraph 143
.90078125000000000000 ./datajourneys/bert-and-bidaf_DJ.digraph 127 ./datajourneys/bert-and-bidaf_DN.digraph 1280
.86838534599728629579 ./datajourneys/bert-base-tf2-0-minimalistic_DJ.digraph 97 ./datajourneys/bert-base-tf2-0-minimalistic_DN.digraph 737
.74347826086956521739 ./datajourneys/bert-the-spam-detector-that-uses-just-10-words_DJ.digraph 118 ./datajourneys/bert-the-spam-detector-that-uses-just-10-words_DN.digraph 460
.83553875236294896030 ./datajourneys/bidirectional-gru-with-convolution_DJ.digraph 87 ./datajourneys/bidirectional-gru-with-convolution_DN.digraph 529
.76559546313799621928 ./datajourneys/bird-eye-view-of-two-sigma-nn-approach_DJ.digraph 372 ./datajourneys/bird-eye-view-of-two-sigma-nn-approach_DN.digraph 1587
.64757709251101321585 ./datajourneys/black-friday-data-exploration_DJ.digraph 80 ./datajourneys/black-friday-data-exploration_DN.digraph 227
.64141414141414141414 ./datajourneys/blend-of-lstm-and-cnn-with-4-embeddings-1200d_DJ.digraph 284 ./datajourneys/blend-of-lstm-and-cnn-with-4-embeddings-1200d_DN.digraph 792
.95395189003436426116 ./datajourneys/blending-with-linear-regression-0-688-lb_DJ.digraph 67 ./datajourneys/blending-with-linear-regression-0-688-lb_DN.digraph 1455
.86029411764705882352 ./datajourneys/blur-detection-analysis_DJ.digraph 19 ./datajourneys/blur-detection-analysis_DN.digraph 136
.91657478868063212054 ./datajourneys/bond-calculaltion-lb-0-82_DJ.digraph 227 ./datajourneys/bond-calculaltion-lb-0-82_DN.digraph 2721
.90885416666666666666 ./datajourneys/bond-calculation-lb-0-82_DJ.digraph 175 ./datajourneys/bond-calculation-lb-0-82_DN.digraph 1920
.66666666666666666666 ./datajourneys/book-with-the-highest-text-reviews_DJ.digraph 21 ./datajourneys/book-with-the-highest-text-reviews_DN.digraph 63
.87837837837837837837 ./datajourneys/booleans-and-conditionals-daily_DJ.digraph 18 ./datajourneys/booleans-and-conditionals-daily_DN.digraph 148
.48051948051948051948 ./datajourneys/booleans-and-conditionals_DJ.digraph 80 ./datajourneys/booleans-and-conditionals_DN.digraph 154
.88129496402877697841 ./datajourneys/boosting-creativity-towards-feature-engineering_DJ.digraph 165 ./datajourneys/boosting-creativity-towards-feature-engineering_DN.digraph 1390
.76283987915407854984 ./datajourneys/boston-housing-regression-analysis_DJ.digraph 157 ./datajourneys/boston-housing-regression-analysis_DN.digraph 662
.90521978021978021978 ./datajourneys/bounding-box-model_DJ.digraph 138 ./datajourneys/bounding-box-model_DN.digraph 1456
.94039735099337748344 ./datajourneys/boundingboxes-vgg16_DJ.digraph 45 ./datajourneys/boundingboxes-vgg16_DN.digraph 755
.79166666666666666666 ./datajourneys/bowl19-state-transfers_DJ.digraph 30 ./datajourneys/bowl19-state-transfers_DN.digraph 144
.96679946879150066401 ./datajourneys/boyu-d2l-modernconvolutionalnetwork_DJ.digraph 25 ./datajourneys/boyu-d2l-modernconvolutionalnetwork_DN.digraph 753
.78030303030303030303 ./datajourneys/breaking-lb-fresh-start_DJ.digraph 87 ./datajourneys/breaking-lb-fresh-start_DN.digraph 396
.81159420289855072463 ./datajourneys/breastcancer_DJ.digraph 143 ./datajourneys/breastcancer_DN.digraph 759
.88363171355498721227 ./datajourneys/brute-force-feature-engineering_DJ.digraph 273 ./datajourneys/brute-force-feature-engineering_DN.digraph 2346
.88439306358381502890 ./datajourneys/building-and-visualizing-masks_DJ.digraph 20 ./datajourneys/building-and-visualizing-masks_DN.digraph 173
.71428571428571428571 ./datajourneys/building-models-from-convolutions_DJ.digraph 6 ./datajourneys/building-models-from-convolutions_DN.digraph 21
.66260593220338983050 ./datajourneys/cannabis-species-eda-and-models-pipeline_DJ.digraph 637 ./datajourneys/cannabis-species-eda-and-models-pipeline_DN.digraph 1888
.73157894736842105263 ./datajourneys/capsule-kannad_DJ.digraph 51 ./datajourneys/capsule-kannad_DN.digraph 190
.76084099868593955321 ./datajourneys/capsule-net-with-gru_DJ.digraph 182 ./datajourneys/capsule-net-with-gru_DN.digraph 761
.80683103370278217597 ./datajourneys/careervillage-org-recommendation-engine_DJ.digraph 854 ./datajourneys/careervillage-org-recommendation-engine_DN.digraph 4421
.82402707275803722504 ./datajourneys/catdognet-keras-convnet-starter_DJ.digraph 104 ./datajourneys/catdognet-keras-convnet-starter_DN.digraph 591
.66539923954372623574 ./datajourneys/categorical-variables_DJ.digraph 88 ./datajourneys/categorical-variables_DN.digraph 263
.84364951768488745980 ./datajourneys/centernet-baseline_DJ.digraph 389 ./datajourneys/centernet-baseline_DN.digraph 2488
.91042253521126760563 ./datajourneys/centernet-keypoint-detector_DJ.digraph 318 ./datajourneys/centernet-keypoint-detector_DN.digraph 3550
.79615795090715048025 ./datajourneys/cervix-eda-model-selection_DJ.digraph 191 ./datajourneys/cervix-eda-model-selection_DN.digraph 937
.89658356417359187442 ./datajourneys/cis-fraud-detection-visualize-feature-engineering_DJ.digraph 224 ./datajourneys/cis-fraud-detection-visualize-feature-engineering_DN.digraph 2166
.75109170305676855895 ./datajourneys/classifying-multi-label-comments-0-9741-lb_DJ.digraph 114 ./datajourneys/classifying-multi-label-comments-0-9741-lb_DN.digraph 458
.84828807556080283353 ./datajourneys/cleaning-up-market-data-errors-and-stock-splits_DJ.digraph 257 ./datajourneys/cleaning-up-market-data-errors-and-stock-splits_DN.digraph 1694
.75552968568102444703 ./datajourneys/cleansing-eda-modelling-lgbm-xgboost-starters_DJ.digraph 210 ./datajourneys/cleansing-eda-modelling-lgbm-xgboost-starters_DN.digraph 859
.79885057471264367816 ./datajourneys/clear-mask-visualization-and-simple-eda_DJ.digraph 105 ./datajourneys/clear-mask-visualization-and-simple-eda_DN.digraph 522
.85639229422066549912 ./datajourneys/cloud-classifier-for-post-processing_DJ.digraph 164 ./datajourneys/cloud-classifier-for-post-processing_DN.digraph 1142
.89297124600638977635 ./datajourneys/cnn-128x128x4-keras-from-scratch-lb-0-328_DJ.digraph 134 ./datajourneys/cnn-128x128x4-keras-from-scratch-lb-0-328_DN.digraph 1252
.96555323590814196242 ./datajourneys/cnn-2d-basic-solution-powered-by-fast-ai_DJ.digraph 33 ./datajourneys/cnn-2d-basic-solution-powered-by-fast-ai_DN.digraph 958
.79270072992700729927 ./datajourneys/cnn-architectures-vgg-resnet-inception-tl_DJ.digraph 142 ./datajourneys/cnn-architectures-vgg-resnet-inception-tl_DN.digraph 685
.92725752508361204013 ./datajourneys/cnn-in-keras-on-folds_DJ.digraph 87 ./datajourneys/cnn-in-keras-on-folds_DN.digraph 1196
.80246913580246913580 ./datajourneys/cnn-lstm-for-signal-classification-lb-0-513_DJ.digraph 192 ./datajourneys/cnn-lstm-for-signal-classification-lb-0-513_DN.digraph 972
.77904761904761904761 ./datajourneys/cnn-segmentation-connected-components_DJ.digraph 232 ./datajourneys/cnn-segmentation-connected-components_DN.digraph 1050
.72949389179755671902 ./datajourneys/cnn-starter-nasnet-mobile-0-9709-lb_DJ.digraph 155 ./datajourneys/cnn-starter-nasnet-mobile-0-9709-lb_DN.digraph 573
.70645161290322580645 ./datajourneys/cnn-with-keras_DJ.digraph 182 ./datajourneys/cnn-with-keras_DN.digraph 620
.93167701863354037267 ./datajourneys/cnn-with-mxnet-gluon-api_DJ.digraph 33 ./datajourneys/cnn-with-mxnet-gluon-api_DN.digraph 483
.73565573770491803278 ./datajourneys/combining-your-model-with-a-model-without-outlier_DJ.digraph 129 ./datajourneys/combining-your-model-with-a-model-without-outlier_DN.digraph 488
.72395833333333333333 ./datajourneys/comparing-various-ml-models-roc-curve-comparison_DJ.digraph 371 ./datajourneys/comparing-various-ml-models-roc-curve-comparison_DN.digraph 1344
.76620370370370370370 ./datajourneys/competi-o-dsa-dezembro-2019_DJ.digraph 101 ./datajourneys/competi-o-dsa-dezembro-2019_DN.digraph 432
.83852691218130311614 ./datajourneys/complete-titanic-tutorial-with-ml-nn-ensembling_DJ.digraph 171 ./datajourneys/complete-titanic-tutorial-with-ml-nn-ensembling_DN.digraph 1059
.80091533180778032036 ./datajourneys/comprehensive-data-exploration-with-python_DJ.digraph 87 ./datajourneys/comprehensive-data-exploration-with-python_DN.digraph 437
.80000000000000000000 ./datajourneys/comprehensive-python-and-d3-js-favorita-analytics_DJ.digraph 182 ./datajourneys/comprehensive-python-and-d3-js-favorita-analytics_DN.digraph 910
.82758620689655172413 ./datajourneys/concorde-solver_DJ.digraph 20 ./datajourneys/concorde-solver_DN.digraph 116
.72860125260960334029 ./datajourneys/convolutional-neural-network-cnn-tutorial_DJ.digraph 130 ./datajourneys/convolutional-neural-network-cnn-tutorial_DN.digraph 479
.77814569536423841059 ./datajourneys/correct-time-aware-cross-validation-scheme_DJ.digraph 67 ./datajourneys/correct-time-aware-cross-validation-scheme_DN.digraph 302
.89902280130293159609 ./datajourneys/cosumo-de-cerveja-rmse-2320-42_DJ.digraph 93 ./datajourneys/cosumo-de-cerveja-rmse-2320-42_DN.digraph 921
.82553191489361702127 ./datajourneys/cox-proportional-hazard-model_DJ.digraph 82 ./datajourneys/cox-proportional-hazard-model_DN.digraph 470
.93392857142857142857 ./datajourneys/cp2410-assignment1-ryanwong_DJ.digraph 37 ./datajourneys/cp2410-assignment1-ryanwong_DN.digraph 560
.77027027027027027027 ./datajourneys/creating-reading-and-writing_DJ.digraph 17 ./datajourneys/creating-reading-and-writing_DN.digraph 74
.68000000000000000000 ./datajourneys/creating-your-own-notebooks_DJ.digraph 8 ./datajourneys/creating-your-own-notebooks_DN.digraph 25
.74645390070921985815 ./datajourneys/creditcard-fraud-analysis_DJ.digraph 143 ./datajourneys/creditcard-fraud-analysis_DN.digraph 564
.55555555555555555555 ./datajourneys/cross-validation_DJ.digraph 32 ./datajourneys/cross-validation_DN.digraph 72
.67387687188019966722 ./datajourneys/customer-segmentation-k-means-analysis_DJ.digraph 196 ./datajourneys/customer-segmentation-k-means-analysis_DN.digraph 601
.73193473193473193473 ./datajourneys/customer-segments-with-pca_DJ.digraph 115 ./datajourneys/customer-segments-with-pca_DN.digraph 429
.80779220779220779220 ./datajourneys/dangerous-bites_DJ.digraph 74 ./datajourneys/dangerous-bites_DN.digraph 385
.75217391304347826086 ./datajourneys/data-analysis-and-feature-extraction-with-python_DJ.digraph 285 ./datajourneys/data-analysis-and-feature-extraction-with-python_DN.digraph 1150
.92075471698113207547 ./datajourneys/data-analysis-using-sql_DJ.digraph 21 ./datajourneys/data-analysis-using-sql_DN.digraph 265
.66212871287128712871 ./datajourneys/data-analysis-xgboost-starter-0-35460-lb_DJ.digraph 273 ./datajourneys/data-analysis-xgboost-starter-0-35460-lb_DN.digraph 808
.97035347776510832383 ./datajourneys/data-augmentation-and-tensorflow-u-net_DJ.digraph 26 ./datajourneys/data-augmentation-and-tensorflow-u-net_DN.digraph 877
.84328358208955223880 ./datajourneys/data-augmentation_DJ.digraph 21 ./datajourneys/data-augmentation_DN.digraph 134
.80000000000000000000 ./datajourneys/data-cleaning-challenge-character-encodings_DJ.digraph 18 ./datajourneys/data-cleaning-challenge-character-encodings_DN.digraph 90
.75590551181102362204 ./datajourneys/data-cleaning-challenge-inconsistent-data-entry_DJ.digraph 31 ./datajourneys/data-cleaning-challenge-inconsistent-data-entry_DN.digraph 127
.63636363636363636363 ./datajourneys/data-cleaning-challenge-parsing-dates_DJ.digraph 28 ./datajourneys/data-cleaning-challenge-parsing-dates_DN.digraph 77
.83431952662721893491 ./datajourneys/data-cleaning-challenge-scale-and-normalize-data_DJ.digraph 28 ./datajourneys/data-cleaning-challenge-scale-and-normalize-data_DN.digraph 169
.68300653594771241830 ./datajourneys/data-exploration-analysis_DJ.digraph 97 ./datajourneys/data-exploration-analysis_DN.digraph 306
.63725490196078431372 ./datajourneys/data-exploration-on-nyc-airbnb_DJ.digraph 148 ./datajourneys/data-exploration-on-nyc-airbnb_DN.digraph 408
.80000000000000000000 ./datajourneys/data-leakage_DJ.digraph 20 ./datajourneys/data-leakage_DN.digraph 100
.78645833333333333333 ./datajourneys/data-mining-project_DJ.digraph 164 ./datajourneys/data-mining-project_DN.digraph 768
.84166666666666666666 ./datajourneys/data-preparation-exploration_DJ.digraph 114 ./datajourneys/data-preparation-exploration_DN.digraph 720
.83692307692307692307 ./datajourneys/data-science-faq_DJ.digraph 106 ./datajourneys/data-science-faq_DN.digraph 650
.77598152424942263279 ./datajourneys/data-science-glossary-on-kaggle_DJ.digraph 291 ./datajourneys/data-science-glossary-on-kaggle_DN.digraph 1299
.84991273996509598603 ./datajourneys/data-science-trends-on-kaggle_DJ.digraph 86 ./datajourneys/data-science-trends-on-kaggle_DN.digraph 573
.76744186046511627906 ./datajourneys/data-types-and-missing-values_DJ.digraph 10 ./datajourneys/data-types-and-missing-values_DN.digraph 43
.80697928026172300981 ./datajourneys/data-visualization_DJ.digraph 177 ./datajourneys/data-visualization_DN.digraph 917
.75768872320596458527 ./datajourneys/dataset-decomposition-techniques_DJ.digraph 260 ./datajourneys/dataset-decomposition-techniques_DN.digraph 1073
.94787379972565157750 ./datajourneys/dataset-preprocessing_DJ.digraph 38 ./datajourneys/dataset-preprocessing_DN.digraph 729
.89545454545454545454 ./datajourneys/day-and-time-powerful-predictive-feature_DJ.digraph 23 ./datajourneys/day-and-time-powerful-predictive-feature_DN.digraph 220
.85931558935361216730 ./datajourneys/decision-boundaries-visualised-via-python-plotly_DJ.digraph 148 ./datajourneys/decision-boundaries-visualised-via-python-plotly_DN.digraph 1052
.96171200206265308753 ./datajourneys/deep-exploration-of-gun-violence-in-us_DJ.digraph 297 ./datajourneys/deep-exploration-of-gun-violence-in-us_DN.digraph 7757
.73240418118466898954 ./datajourneys/deep-healthcare-analysis-using-bigquery_DJ.digraph 384 ./datajourneys/deep-healthcare-analysis-using-bigquery_DN.digraph 1435
.92094861660079051383 ./datajourneys/deep-lab04_DJ.digraph 20 ./datajourneys/deep-lab04_DN.digraph 253
.82718727404193781634 ./datajourneys/deep-learning-in-tf-with-upsampling-lb-758_DJ.digraph 239 ./datajourneys/deep-learning-in-tf-with-upsampling-lb-758_DN.digraph 1383
.93629929221435793731 ./datajourneys/deep-learning-tutorial-for-beginners_DJ.digraph 63 ./datajourneys/deep-learning-tutorial-for-beginners_DN.digraph 989
.85027726432532347504 ./datajourneys/deep-neural-network-keras-way_DJ.digraph 81 ./datajourneys/deep-neural-network-keras-way_DN.digraph 541
.94848084544253632760 ./datajourneys/deepfake-starter-kit_DJ.digraph 39 ./datajourneys/deepfake-starter-kit_DN.digraph 757
.89593657086223984142 ./datajourneys/defect-area-segments-eda-with-plotly-fp-mining_DJ.digraph 105 ./datajourneys/defect-area-segments-eda-with-plotly-fp-mining_DN.digraph 1009
.76363636363636363636 ./datajourneys/depression-on-twitter_DJ.digraph 13 ./datajourneys/depression-on-twitter_DN.digraph 55
.73076923076923076923 ./datajourneys/detailed-exploratory-data-analysis-with-python_DJ.digraph 91 ./datajourneys/detailed-exploratory-data-analysis-with-python_DN.digraph 338
.78007889546351084812 ./datajourneys/detecting-malwares-with-lgbm_DJ.digraph 223 ./datajourneys/detecting-malwares-with-lgbm_DN.digraph 1014
.88365095285857572718 ./datajourneys/deterministic-neural-networks-using-pytorch_DJ.digraph 116 ./datajourneys/deterministic-neural-networks-using-pytorch_DN.digraph 997
.88888888888888888888 ./datajourneys/develop-data-intuition-translate-russian-names_DJ.digraph 9 ./datajourneys/develop-data-intuition-translate-russian-names_DN.digraph 81
.79719051799824407374 ./datajourneys/different-embeddings-with-attention-fork-fork_DJ.digraph 231 ./datajourneys/different-embeddings-with-attention-fork-fork_DN.digraph 1139
.85937500000000000000 ./datajourneys/digit-recognition_DJ.digraph 45 ./datajourneys/digit-recognition_DN.digraph 320
.90271816881258941344 ./datajourneys/do-pretrained-embeddings-give-you-the-extra-edge_DJ.digraph 68 ./datajourneys/do-pretrained-embeddings-give-you-the-extra-edge_DN.digraph 699
.84057971014492753623 ./datajourneys/does-alcohol-affect-success_DJ.digraph 33 ./datajourneys/does-alcohol-affect-success_DN.digraph 207
.63592233009708737864 ./datajourneys/dog-breed-pretrained-keras-models-lb-0-3_DJ.digraph 300 ./datajourneys/dog-breed-pretrained-keras-models-lb-0-3_DN.digraph 824
.81132075471698113207 ./datajourneys/dogs-cats-classification-keras-vggnet_DJ.digraph 80 ./datajourneys/dogs-cats-classification-keras-vggnet_DN.digraph 424
.80090497737556561085 ./datajourneys/don-t-see-like-a-radiologist-fastai_DJ.digraph 44 ./datajourneys/don-t-see-like-a-radiologist-fastai_DN.digraph 221
.75874375446109921484 ./datajourneys/donorchoose-complete-eda-time-series-analysis_DJ.digraph 338 ./datajourneys/donorchoose-complete-eda-time-series-analysis_DN.digraph 1401
.85294117647058823529 ./datajourneys/download-a-csv-file-from-a-kernel_DJ.digraph 10 ./datajourneys/download-a-csv-file-from-a-kernel_DN.digraph 68
.66134751773049645390 ./datajourneys/ds-bowl-start-here-a-gentle-introduction_DJ.digraph 191 ./datajourneys/ds-bowl-start-here-a-gentle-introduction_DN.digraph 564
.85588558855885588558 ./datajourneys/dynamics-of-new-york-city-animation_DJ.digraph 131 ./datajourneys/dynamics-of-new-york-city-animation_DN.digraph 909
.88574577516531961792 ./datajourneys/eachtype_DJ.digraph 311 ./datajourneys/eachtype_DN.digraph 2722
.84976525821596244131 ./datajourneys/earthquake-animation-with-plotly_DJ.digraph 64 ./datajourneys/earthquake-animation-with-plotly_DN.digraph 426
.92290869327501366867 ./datajourneys/eda-and-lstm-cnn_DJ.digraph 141 ./datajourneys/eda-and-lstm-cnn_DN.digraph 1829
.90529247910863509749 ./datajourneys/eda-and-models_DJ.digraph 204 ./datajourneys/eda-and-models_DN.digraph 2154
.72838137472283813747 ./datajourneys/eda-ensemble-model-top-10-percentile_DJ.digraph 245 ./datajourneys/eda-ensemble-model-top-10-percentile_DN.digraph 902
.84193011647254575707 ./datajourneys/eda-feat-engineering-encode-conquer_DJ.digraph 285 ./datajourneys/eda-feat-engineering-encode-conquer_DN.digraph 1803
.88632196552988632196 ./datajourneys/eda-feature-engineering-lgb-xgb-cat_DJ.digraph 310 ./datajourneys/eda-feature-engineering-lgb-xgb-cat_DN.digraph 2727
.92268694550063371356 ./datajourneys/eda-find-me-in-the-clouds_DJ.digraph 61 ./datajourneys/eda-find-me-in-the-clouds_DN.digraph 789
.80076628352490421455 ./datajourneys/eda-is-fun_DJ.digraph 156 ./datajourneys/eda-is-fun_DN.digraph 783
.88023952095808383233 ./datajourneys/eda-nfl_DJ.digraph 20 ./datajourneys/eda-nfl_DN.digraph 167
.80471050049067713444 ./datajourneys/eda-pca-simple-lgbm-on-kfold-technique_DJ.digraph 199 ./datajourneys/eda-pca-simple-lgbm-on-kfold-technique_DN.digraph 1019
.71473851030110935023 ./datajourneys/eda-regression_DJ.digraph 180 ./datajourneys/eda-regression_DN.digraph 631
.79931389365351629502 ./datajourneys/eda-script-67_DJ.digraph 117 ./datajourneys/eda-script-67_DN.digraph 583
.89491150442477876106 ./datajourneys/eda-understanding-the-dataset-with-3d-plots_DJ.digraph 95 ./datajourneys/eda-understanding-the-dataset-with-3d-plots_DN.digraph 904
.88472622478386167146 ./datajourneys/eda-view-dicom-images-with-correct-windowing_DJ.digraph 40 ./datajourneys/eda-view-dicom-images-with-correct-windowing_DN.digraph 347
.82520808561236623067 ./datajourneys/eda-visualization-story-dsb-2019_DJ.digraph 147 ./datajourneys/eda-visualization-story-dsb-2019_DN.digraph 841
.54956521739130434782 ./datajourneys/eda-weird-images-with-new-updates_DJ.digraph 518 ./datajourneys/eda-weird-images-with-new-updates_DN.digraph 1150
.85801526717557251908 ./datajourneys/effective-feature-engineering_DJ.digraph 93 ./datajourneys/effective-feature-engineering_DN.digraph 655
.89153889835320840431 ./datajourneys/efficientnetb5-with-keras-aptos-2019_DJ.digraph 191 ./datajourneys/efficientnetb5-with-keras-aptos-2019_DN.digraph 1761
.82692307692307692307 ./datajourneys/eli5-for-mercari_DJ.digraph 36 ./datajourneys/eli5-for-mercari_DN.digraph 208
.85829235583370585605 ./datajourneys/elo-eda-and-models_DJ.digraph 317 ./datajourneys/elo-eda-and-models_DN.digraph 2237
.85668103448275862068 ./datajourneys/elo-world_DJ.digraph 133 ./datajourneys/elo-world_DN.digraph 928
.73451327433628318584 ./datajourneys/embedding-layers_DJ.digraph 120 ./datajourneys/embedding-layers_DN.digraph 452
.85678704856787048567 ./datajourneys/employee-attrition-via-ensemble-tree-based-methods_DJ.digraph 115 ./datajourneys/employee-attrition-via-ensemble-tree-based-methods_DN.digraph 803
.74287913779830638953 ./datajourneys/end-to-end-project-with-python_DJ.digraph 334 ./datajourneys/end-to-end-project-with-python_DN.digraph 1299
.90841750841750841750 ./datajourneys/even-more-features_DJ.digraph 136 ./datajourneys/even-more-features_DN.digraph 1485
.69747899159663865546 ./datajourneys/everything-you-can-do-with-a-time-series_DJ.digraph 360 ./datajourneys/everything-you-can-do-with-a-time-series_DN.digraph 1190
.80952380952380952380 ./datajourneys/exercise-build-your-first-machine-learning-model_DJ.digraph 12 ./datajourneys/exercise-build-your-first-machine-learning-model_DN.digraph 63
.88505747126436781609 ./datajourneys/exercise-creating-reading-and-writing_DJ.digraph 10 ./datajourneys/exercise-creating-reading-and-writing_DN.digraph 87
.82978723404255319148 ./datajourneys/exercise-intro-to-dl-for-computer-vision_DJ.digraph 8 ./datajourneys/exercise-intro-to-dl-for-computer-vision_DN.digraph 47
.69294605809128630705 ./datajourneys/exercise-introduction_DJ.digraph 74 ./datajourneys/exercise-introduction_DN.digraph 241
.70714285714285714285 ./datajourneys/exercise-model-validation_DJ.digraph 41 ./datajourneys/exercise-model-validation_DN.digraph 140
.65517241379310344827 ./datajourneys/explanation-of-map5-scoring-metric_DJ.digraph 20 ./datajourneys/explanation-of-map5-scoring-metric_DN.digraph 58
.87878787878787878787 ./datajourneys/explanation-of-scoring-metric_DJ.digraph 36 ./datajourneys/explanation-of-scoring-metric_DN.digraph 297
.82432432432432432432 ./datajourneys/exploration-to-quench-chennai-s-thirst_DJ.digraph 65 ./datajourneys/exploration-to-quench-chennai-s-thirst_DN.digraph 370
.85484906872190109184 ./datajourneys/exploratory-analysis-and-predictions_DJ.digraph 226 ./datajourneys/exploratory-analysis-and-predictions_DN.digraph 1557
.84290909090909090909 ./datajourneys/exploratory-analysis-ga-customer-revenue_DJ.digraph 216 ./datajourneys/exploratory-analysis-ga-customer-revenue_DN.digraph 1375
.88955823293172690763 ./datajourneys/exploratory-data-analysis-4_DJ.digraph 55 ./datajourneys/exploratory-data-analysis-4_DN.digraph 498
.95084897229669347631 ./datajourneys/exploratory-data-analysis-and-example-generation_DJ.digraph 55 ./datajourneys/exploratory-data-analysis-and-example-generation_DN.digraph 1119
.72653061224489795918 ./datajourneys/exploratory-data-analysis_DJ.digraph 67 ./datajourneys/exploratory-data-analysis_DN.digraph 245
.77766990291262135922 ./datajourneys/exploratory-study-on-feature-selection_DJ.digraph 229 ./datajourneys/exploratory-study-on-feature-selection_DN.digraph 1030
.79810495626822157434 ./datajourneys/exploratory-study-on-ml-algorithms_DJ.digraph 277 ./datajourneys/exploratory-study-on-ml-algorithms_DN.digraph 1372
.86384976525821596244 ./datajourneys/explore-stacking-lb-0-1463_DJ.digraph 29 ./datajourneys/explore-stacking-lb-0-1463_DN.digraph 213
.44444444444444444444 ./datajourneys/explore-your-data_DJ.digraph 10 ./datajourneys/explore-your-data_DN.digraph 18
.76587301587301587301 ./datajourneys/exploring-google-quest-data_DJ.digraph 59 ./datajourneys/exploring-google-quest-data_DN.digraph 252
.77811550151975683890 ./datajourneys/exploring-molecular-properties-data_DJ.digraph 219 ./datajourneys/exploring-molecular-properties-data_DN.digraph 987
.87850467289719626168 ./datajourneys/exploring-products_DJ.digraph 26 ./datajourneys/exploring-products_DN.digraph 214
.71508693213684800897 ./datajourneys/extensive-usa-youtube-eda_DJ.digraph 508 ./datajourneys/extensive-usa-youtube-eda_DN.digraph 1783
.81578947368421052631 ./datajourneys/extract-image-features-from-pretrained-nn_DJ.digraph 63 ./datajourneys/extract-image-features-from-pretrained-nn_DN.digraph 342
.82327586206896551724 ./datajourneys/eye-efficientnet-pytorch-lb-0-777_DJ.digraph 123 ./datajourneys/eye-efficientnet-pytorch-lb-0-777_DN.digraph 696
.93675213675213675213 ./datajourneys/eye-inference-num-class-1-ver3_DJ.digraph 37 ./datajourneys/eye-inference-num-class-1-ver3_DN.digraph 585
.90825688073394495412 ./datajourneys/face-detection-with-cv2-one-line-code_DJ.digraph 10 ./datajourneys/face-detection-with-cv2-one-line-code_DN.digraph 109
.79389312977099236641 ./datajourneys/faceting-with-seaborn_DJ.digraph 54 ./datajourneys/faceting-with-seaborn_DN.digraph 262
.76334519572953736654 ./datajourneys/facial-keypoint-detection_DJ.digraph 133 ./datajourneys/facial-keypoint-detection_DN.digraph 562
.77642276422764227642 ./datajourneys/facial-recognition-model-in-pytorch_DJ.digraph 55 ./datajourneys/facial-recognition-model-in-pytorch_DN.digraph 246
.81228668941979522184 ./datajourneys/fake-detect-basic_DJ.digraph 110 ./datajourneys/fake-detect-basic_DN.digraph 586
.87283236994219653179 ./datajourneys/fast-ai-lesson-1_DJ.digraph 66 ./datajourneys/fast-ai-lesson-1_DN.digraph 519
.85763888888888888888 ./datajourneys/fast-ai-v3-lesson-1_DJ.digraph 41 ./datajourneys/fast-ai-v3-lesson-1_DN.digraph 288
.90686274509803921568 ./datajourneys/fast-pdf-calculation-with-correlation-matrix_DJ.digraph 38 ./datajourneys/fast-pdf-calculation-with-correlation-matrix_DN.digraph 408
.91044776119402985074 ./datajourneys/fastai-feature-engineering-part1-6160-features_DJ.digraph 60 ./datajourneys/fastai-feature-engineering-part1-6160-features_DN.digraph 670
.92401215805471124620 ./datajourneys/fastai-model-part1-regression_DJ.digraph 50 ./datajourneys/fastai-model-part1-regression_DN.digraph 658
.77918781725888324873 ./datajourneys/fastai-unfreeze-densenet161_DJ.digraph 87 ./datajourneys/fastai-unfreeze-densenet161_DN.digraph 394
.77996803409696323921 ./datajourneys/feature-engineering-benchmarks_DJ.digraph 413 ./datajourneys/feature-engineering-benchmarks_DN.digraph 1877
.81944444444444444444 ./datajourneys/feature-engineering-importance-testing_DJ.digraph 65 ./datajourneys/feature-engineering-importance-testing_DN.digraph 360
.78146718146718146718 ./datajourneys/feature-engineering-lightgbm_DJ.digraph 283 ./datajourneys/feature-engineering-lightgbm_DN.digraph 1295
.95255474452554744525 ./datajourneys/feature-engineering-v-1-0_DJ.digraph 52 ./datajourneys/feature-engineering-v-1-0_DN.digraph 1096
.72807613868116927260 ./datajourneys/feature-engineering-xgboost_DJ.digraph 400 ./datajourneys/feature-engineering-xgboost_DN.digraph 1471
.84653465346534653465 ./datajourneys/feature-engineering_DJ.digraph 31 ./datajourneys/feature-engineering_DN.digraph 202
.87654320987654320987 ./datajourneys/feature-extraction-from-images_DJ.digraph 60 ./datajourneys/feature-extraction-from-images_DN.digraph 486
.67134831460674157303 ./datajourneys/feature-ranking-rfe-random-forest-linear-models_DJ.digraph 117 ./datajourneys/feature-ranking-rfe-random-forest-linear-models_DN.digraph 356
.74184782608695652173 ./datajourneys/feature-scoring-vs-zeros_DJ.digraph 190 ./datajourneys/feature-scoring-vs-zeros_DN.digraph 736
.73170731707317073170 ./datajourneys/feature-selection-and-data-visualization_DJ.digraph 176 ./datajourneys/feature-selection-and-data-visualization_DN.digraph 656
.74883099532398129592 ./datajourneys/feature-selection-model-interpretation-and-more_DJ.digraph 376 ./datajourneys/feature-selection-model-interpretation-and-more_DN.digraph 1497
.90810810810810810810 ./datajourneys/feature-selection-with-null-importances_DJ.digraph 68 ./datajourneys/feature-selection-with-null-importances_DN.digraph 740
.71276595744680851063 ./datajourneys/fifa-in-depth-analysis-with-linear-regression_DJ.digraph 189 ./datajourneys/fifa-in-depth-analysis-with-linear-regression_DN.digraph 658
.80706521739130434782 ./datajourneys/finding-boatids_DJ.digraph 71 ./datajourneys/finding-boatids_DN.digraph 368
.84169014084507042253 ./datajourneys/finding-pneumo-part-1-eda-and-unet_DJ.digraph 281 ./datajourneys/finding-pneumo-part-1-eda-and-unet_DN.digraph 1775
.42857142857142857142 ./datajourneys/finding-your-files-in-kaggle-kernels_DJ.digraph 8 ./datajourneys/finding-your-files-in-kaggle-kernels_DN.digraph 14
.75000000000000000000 ./datajourneys/fires-in-brazil-analysis_DJ.digraph 149 ./datajourneys/fires-in-brazil-analysis_DN.digraph 596
.79816513761467889908 ./datajourneys/first-look-on-the-data_DJ.digraph 44 ./datajourneys/first-look-on-the-data_DN.digraph 218
.85231660231660231660 ./datajourneys/fivethirtyeight-comics-analysis_DJ.digraph 153 ./datajourneys/fivethirtyeight-comics-analysis_DN.digraph 1036
.74116161616161616161 ./datajourneys/flower-recognition-cnn-keras_DJ.digraph 205 ./datajourneys/flower-recognition-cnn-keras_DN.digraph 792
.91946308724832214765 ./datajourneys/for-beginners-tackling-toxic-using-keras_DJ.digraph 24 ./datajourneys/for-beginners-tackling-toxic-using-keras_DN.digraph 298
.77403633141338059370 ./datajourneys/fraud-complete-eda_DJ.digraph 510 ./datajourneys/fraud-complete-eda_DN.digraph 2257
.84103512014787430683 ./datajourneys/from-prototyping-to-submission-fastai_DJ.digraph 86 ./datajourneys/from-prototyping-to-submission-fastai_DN.digraph 541
.77407407407407407407 ./datajourneys/full-classification-example-with-convnet_DJ.digraph 122 ./datajourneys/full-classification-example-with-convnet_DN.digraph 540
.93678160919540229885 ./datajourneys/full-pipeline-demo-poly-pixels-ml-poly_DJ.digraph 33 ./datajourneys/full-pipeline-demo-poly-pixels-ml-poly_DN.digraph 522
.94772727272727272727 ./datajourneys/full-preprocessing-tutorial_DJ.digraph 23 ./datajourneys/full-preprocessing-tutorial_DN.digraph 440
.92670157068062827225 ./datajourneys/functions-and-getting-help-daily_DJ.digraph 14 ./datajourneys/functions-and-getting-help-daily_DN.digraph 191
.94764397905759162303 ./datajourneys/functions-and-getting-help_DJ.digraph 10 ./datajourneys/functions-and-getting-help_DN.digraph 191
.88929889298892988929 ./datajourneys/gan-dogs-starter-24-jul-custom-layers_DJ.digraph 120 ./datajourneys/gan-dogs-starter-24-jul-custom-layers_DN.digraph 1084
.89117043121149897330 ./datajourneys/gan-for-artwork-duplication_DJ.digraph 53 ./datajourneys/gan-for-artwork-duplication_DN.digraph 487
.85060827250608272506 ./datajourneys/geek-girls-rising-myth-or-reality_DJ.digraph 307 ./datajourneys/geek-girls-rising-myth-or-reality_DN.digraph 2055
.84757505773672055427 ./datajourneys/generation-unemployed-interactive-plotly-visuals_DJ.digraph 66 ./datajourneys/generation-unemployed-interactive-plotly-visuals_DN.digraph 433
.84000000000000000000 ./datajourneys/geospatial-analysis-of-brazilian-e-commerce_DJ.digraph 180 ./datajourneys/geospatial-analysis-of-brazilian-e-commerce_DN.digraph 1125
.86005089058524173027 ./datajourneys/getting-started-with-a-movie-recommendation-system_DJ.digraph 55 ./datajourneys/getting-started-with-a-movie-recommendation-system_DN.digraph 393
.71880819366852886405 ./datajourneys/getting-started-with-cnn-and-vgg16_DJ.digraph 151 ./datajourneys/getting-started-with-cnn-and-vgg16_DN.digraph 537
.81818181818181818181 ./datajourneys/getting-started-with-sql-and-bigquery_DJ.digraph 8 ./datajourneys/getting-started-with-sql-and-bigquery_DN.digraph 44
.80246913580246913580 ./datajourneys/giba-s-property-extended-extended-result_DJ.digraph 80 ./datajourneys/giba-s-property-extended-extended-result_DN.digraph 405
.81611208406304728546 ./datajourneys/glance-at-type_DJ.digraph 105 ./datajourneys/glance-at-type_DN.digraph 571
.77580071174377224199 ./datajourneys/gmean-of-low-correlation-lb-0-952x_DJ.digraph 63 ./datajourneys/gmean-of-low-correlation-lb-0-952x_DN.digraph 281
.86120401337792642140 ./datajourneys/goodreads-analysis-and-recommending-books_DJ.digraph 166 ./datajourneys/goodreads-analysis-and-recommending-books_DN.digraph 1196
.80624499599679743795 ./datajourneys/google-analytics-simple-exploration_DJ.digraph 242 ./datajourneys/google-analytics-simple-exploration_DN.digraph 1249
.56707317073170731707 ./datajourneys/google-app-store-dataset-analysis_DJ.digraph 71 ./datajourneys/google-app-store-dataset-analysis_DN.digraph 164
.82186234817813765182 ./datajourneys/google-colab-dataexploration-basic-lr_DJ.digraph 44 ./datajourneys/google-colab-dataexploration-basic-lr_DN.digraph 247
.85024154589371980676 ./datajourneys/gradient-descent_DJ.digraph 124 ./datajourneys/gradient-descent_DN.digraph 828
.68529411764705882352 ./datajourneys/graphicallasso-gaussianmixture_DJ.digraph 107 ./datajourneys/graphicallasso-gaussianmixture_DN.digraph 340
.78367875647668393782 ./datajourneys/greyscale-mobilenet-lb-0-892_DJ.digraph 167 ./datajourneys/greyscale-mobilenet-lb-0-892_DN.digraph 772
.91228070175438596491 ./datajourneys/group-by-having-count_DJ.digraph 10 ./datajourneys/group-by-having-count_DN.digraph 114
.88477801268498942917 ./datajourneys/gru-capsule_DJ.digraph 109 ./datajourneys/gru-capsule_DN.digraph 946
.83149779735682819383 ./datajourneys/guide-to-animated-bubble-charts-using-plotly_DJ.digraph 153 ./datajourneys/guide-to-animated-bubble-charts-using-plotly_DN.digraph 908
.68159203980099502487 ./datajourneys/haber-kernel-1_DJ.digraph 192 ./datajourneys/haber-kernel-1_DN.digraph 603
.29901960784313725490 ./datajourneys/handling-missing-values_DJ.digraph 143 ./datajourneys/handling-missing-values_DN.digraph 204
.83947681331747919143 ./datajourneys/hd-predictor_DJ.digraph 135 ./datajourneys/hd-predictor_DN.digraph 841
.71897435897435897435 ./datajourneys/heart-disease-classifications-machine-learning_DJ.digraph 274 ./datajourneys/heart-disease-classifications-machine-learning_DN.digraph 975
.78037803780378037803 ./datajourneys/heart-diseases-analysis_DJ.digraph 244 ./datajourneys/heart-diseases-analysis_DN.digraph 1111
.68456375838926174496 ./datajourneys/hello-python-daily_DJ.digraph 47 ./datajourneys/hello-python-daily_DN.digraph 149
.72483221476510067114 ./datajourneys/hello-python_DJ.digraph 41 ./datajourneys/hello-python_DN.digraph 149
.68181818181818181818 ./datajourneys/hello-seaborn_DJ.digraph 14 ./datajourneys/hello-seaborn_DN.digraph 44
.89182692307692307692 ./datajourneys/high-correlation-feature-image-classification-conf_DJ.digraph 45 ./datajourneys/high-correlation-feature-image-classification-conf_DN.digraph 416
.83865546218487394957 ./datajourneys/home-credit-bureau-data-feature-engineering_DJ.digraph 96 ./datajourneys/home-credit-bureau-data-feature-engineering_DN.digraph 595
.77896138482023968042 ./datajourneys/home-credit-complete-eda-feature-importance_DJ.digraph 332 ./datajourneys/home-credit-complete-eda-feature-importance_DN.digraph 1502
.92162162162162162162 ./datajourneys/home-credit-default-risk-extensive-eda_DJ.digraph 87 ./datajourneys/home-credit-default-risk-extensive-eda_DN.digraph 1110
.83305036785512167515 ./datajourneys/homecreditrisk-extensive-eda-baseline-0-772_DJ.digraph 295 ./datajourneys/homecreditrisk-extensive-eda-baseline-0-772_DN.digraph 1767
.72351421188630490956 ./datajourneys/homeworks-up-to-date_DJ.digraph 107 ./datajourneys/homeworks-up-to-date_DN.digraph 387
.60805369127516778523 ./datajourneys/house-price-calculation-methods-for-beginners_DJ.digraph 292 ./datajourneys/house-price-calculation-methods-for-beginners_DN.digraph 745
.67599569429494079655 ./datajourneys/house-prices-1st-approach-to-data-science-process_DJ.digraph 301 ./datajourneys/house-prices-1st-approach-to-data-science-process_DN.digraph 929
.77885391444713478611 ./datajourneys/house-prices-begginer-top-7_DJ.digraph 274 ./datajourneys/house-prices-begginer-top-7_DN.digraph 1239
.74351585014409221902 ./datajourneys/house-prices-eda-to-ml-beginner_DJ.digraph 445 ./datajourneys/house-prices-eda-to-ml-beginner_DN.digraph 1735
.85185185185185185185 ./datajourneys/house-prices-on-the-top-with-a-simple-model_DJ.digraph 68 ./datajourneys/house-prices-on-the-top-with-a-simple-model_DN.digraph 459
.90177736202057998129 ./datajourneys/how-autoencoders-work-intro-and-usecases_DJ.digraph 105 ./datajourneys/how-autoencoders-work-intro-and-usecases_DN.digraph 1069
.82142857142857142857 ./datajourneys/how-to-attack-a-machine-learning-model_DJ.digraph 195 ./datajourneys/how-to-attack-a-machine-learning-model_DN.digraph 1092
.79495268138801261829 ./datajourneys/how-to-choose-cnn-architecture-mnist_DJ.digraph 260 ./datajourneys/how-to-choose-cnn-architecture-mnist_DN.digraph 1268
.76041666666666666666 ./datajourneys/how-to-easy-visualization-of-molecules_DJ.digraph 23 ./datajourneys/how-to-easy-visualization-of-molecules_DN.digraph 96
.70637119113573407202 ./datajourneys/how-to-get-high-rating-on-play-store_DJ.digraph 212 ./datajourneys/how-to-get-high-rating-on-play-store_DN.digraph 722
.80576631259484066767 ./datajourneys/how-to-get-to-top-25-with-simple-model-sklearn_DJ.digraph 128 ./datajourneys/how-to-get-to-top-25-with-simple-model-sklearn_DN.digraph 659
.75452488687782805429 ./datajourneys/how-to-get-upvotes-for-a-kernel-on-kaggle_DJ.digraph 434 ./datajourneys/how-to-get-upvotes-for-a-kernel-on-kaggle_DN.digraph 1768
.93098591549295774647 ./datajourneys/how-to-preprocessing-for-glove-part1-eda_DJ.digraph 49 ./datajourneys/how-to-preprocessing-for-glove-part1-eda_DN.digraph 710
.91666666666666666666 ./datajourneys/how-to-preprocessing-when-using-embeddings_DJ.digraph 35 ./datajourneys/how-to-preprocessing-when-using-embeddings_DN.digraph 420
.77966101694915254237 ./datajourneys/how-top-lb-got-their-score-use-titanic-to-learn_DJ.digraph 26 ./datajourneys/how-top-lb-got-their-score-use-titanic-to-learn_DN.digraph 118
.80216802168021680216 ./datajourneys/human-activity-generation_DJ.digraph 73 ./datajourneys/human-activity-generation_DN.digraph 369
.72934973637961335676 ./datajourneys/humpback-whale-id-data-and-aug-exploration_DJ.digraph 154 ./datajourneys/humpback-whale-id-data-and-aug-exploration_DN.digraph 569
.71202113606340819022 ./datajourneys/hybrid-cnn-xgboost-gnb-accuracy-99_DJ.digraph 218 ./datajourneys/hybrid-cnn-xgboost-gnb-accuracy-99_DN.digraph 757
.59486447931526390870 ./datajourneys/i-have-seen-the-future_DJ.digraph 284 ./datajourneys/i-have-seen-the-future_DN.digraph 701
.74288617886178861788 ./datajourneys/i-will-sell-everything-for-free-0-55_DJ.digraph 253 ./datajourneys/i-will-sell-everything-for-free-0-55_DN.digraph 984
.78335535006605019815 ./datajourneys/ideas-for-image-features-and-image-quality_DJ.digraph 164 ./datajourneys/ideas-for-image-features-and-image-quality_DN.digraph 757
.77391975308641975308 ./datajourneys/ieee-cv-options_DJ.digraph 293 ./datajourneys/ieee-cv-options_DN.digraph 1296
.82086614173228346456 ./datajourneys/ieee-data-minification_DJ.digraph 91 ./datajourneys/ieee-data-minification_DN.digraph 508
.78527607361963190184 ./datajourneys/ieee-fraud-xgboost-with-gpu-fit-in-40s_DJ.digraph 35 ./datajourneys/ieee-fraud-xgboost-with-gpu-fit-in-40s_DN.digraph 163
.81151832460732984293 ./datajourneys/ieee-gb-2-make-amount-useful-again_DJ.digraph 216 ./datajourneys/ieee-gb-2-make-amount-useful-again_DN.digraph 1146
.75342465753424657534 ./datajourneys/ieee-internal-blend_DJ.digraph 18 ./datajourneys/ieee-internal-blend_DN.digraph 73
.85533453887884267631 ./datajourneys/ieee-lgbm-with-groupkfold-cv_DJ.digraph 80 ./datajourneys/ieee-lgbm-with-groupkfold-cv_DN.digraph 553
.85009487666034155597 ./datajourneys/ieee-simple-lgbm_DJ.digraph 79 ./datajourneys/ieee-simple-lgbm_DN.digraph 527
.91932457786116322701 ./datajourneys/ieee-transaction-columns-reference_DJ.digraph 43 ./datajourneys/ieee-transaction-columns-reference_DN.digraph 533
.69921875000000000000 ./datajourneys/image-augmentations-for-pku-self-driving-car_DJ.digraph 154 ./datajourneys/image-augmentations-for-pku-self-driving-car_DN.digraph 512
.85418427726120033812 ./datajourneys/image-segmentation-from-scratch-in-pytorch_DJ.digraph 345 ./datajourneys/image-segmentation-from-scratch-in-pytorch_DN.digraph 2366
.77971646673936750272 ./datajourneys/imaterialist-fashion-eda-object-detection-colors_DJ.digraph 202 ./datajourneys/imaterialist-fashion-eda-object-detection-colors_DN.digraph 917
.70905172413793103448 ./datajourneys/imdb-review-deep-model-94-89-accuracy_DJ.digraph 135 ./datajourneys/imdb-review-deep-model-94-89-accuracy_DN.digraph 464
.97184822521419828641 ./datajourneys/improve-your-score-with-some-text-preprocessing_DJ.digraph 46 ./datajourneys/improve-your-score-with-some-text-preprocessing_DN.digraph 1634
.91852886405959031657 ./datajourneys/improve-your-score-with-text-preprocessing-v2_DJ.digraph 175 ./datajourneys/improve-your-score-with-text-preprocessing-v2_DN.digraph 2148
.94100294985250737463 ./datajourneys/improved-lstm-baseline-glove-dropout_DJ.digraph 20 ./datajourneys/improved-lstm-baseline-glove-dropout_DN.digraph 339
.79925650557620817843 ./datajourneys/in-depth-skewed-data-classif-93-recall-acc-now_DJ.digraph 162 ./datajourneys/in-depth-skewed-data-classif-93-recall-acc-now_DN.digraph 807
.77554064131245339299 ./datajourneys/inceptionv3-for-retinopathy-gpu-hr_DJ.digraph 301 ./datajourneys/inceptionv3-for-retinopathy-gpu-hr_DN.digraph 1341
.94556451612903225806 ./datajourneys/inceptionv3-prev-resnet50-keras-baseline-model_DJ.digraph 54 ./datajourneys/inceptionv3-prev-resnet50-keras-baseline-model_DN.digraph 992
.80000000000000000000 ./datajourneys/indexing-selecting-assigning_DJ.digraph 9 ./datajourneys/indexing-selecting-assigning_DN.digraph 45
.80487804878048780487 ./datajourneys/indian-way-to-learn-cnn_DJ.digraph 112 ./datajourneys/indian-way-to-learn-cnn_DN.digraph 574
.93021411578112609040 ./datajourneys/initial-wrangling-voronoi-areas-in-python_DJ.digraph 88 ./datajourneys/initial-wrangling-voronoi-areas-in-python_DN.digraph 1261
.79123584441161989167 ./datajourneys/insightful-eda-modeling-lgbm-hyperopt_DJ.digraph 424 ./datajourneys/insightful-eda-modeling-lgbm-hyperopt_DN.digraph 2031
.72188755020080321285 ./datajourneys/instacart-simple-data-exploration_DJ.digraph 277 ./datajourneys/instacart-simple-data-exploration_DN.digraph 996
.77401129943502824858 ./datajourneys/instant-eda_DJ.digraph 160 ./datajourneys/instant-eda_DN.digraph 708
.73306772908366533864 ./datajourneys/interactive-bokeh-tutorial-part-2_DJ.digraph 67 ./datajourneys/interactive-bokeh-tutorial-part-2_DN.digraph 251
.77117117117117117117 ./datajourneys/interactive-intro-to-dimensionality-reduction_DJ.digraph 127 ./datajourneys/interactive-intro-to-dimensionality-reduction_DN.digraph 555
.78947368421052631578 ./datajourneys/interactive-porto-insights-a-plot-ly-tutorial_DJ.digraph 124 ./datajourneys/interactive-porto-insights-a-plot-ly-tutorial_DN.digraph 589
.89342806394316163410 ./datajourneys/intermediate-visualization-tutorial-using-plotly_DJ.digraph 120 ./datajourneys/intermediate-visualization-tutorial-using-plotly_DN.digraph 1126
.82467532467532467532 ./datajourneys/intro-aptos-diabetic-retinopathy-eda-starter_DJ.digraph 108 ./datajourneys/intro-aptos-diabetic-retinopathy-eda-starter_DN.digraph 616
.88372093023255813953 ./datajourneys/intro-chest-xray-dicom-viz-u-nets-full-data_DJ.digraph 90 ./datajourneys/intro-chest-xray-dicom-viz-u-nets-full-data_DN.digraph 774
.71428571428571428571 ./datajourneys/intro-to-dl-for-computer-vision_DJ.digraph 6 ./datajourneys/intro-to-dl-for-computer-vision_DN.digraph 21
.67980295566502463054 ./datajourneys/intro-to-keras-with-breast-cancer-data-ann_DJ.digraph 65 ./datajourneys/intro-to-keras-with-breast-cancer-data-ann_DN.digraph 203
.89542483660130718954 ./datajourneys/intro-to-recurrent-neural-networks-lstm-gru_DJ.digraph 48 ./datajourneys/intro-to-recurrent-neural-networks-lstm-gru_DN.digraph 459
.83733624454148471615 ./datajourneys/intro-to-seismic-salt-and-how-to-geophysics_DJ.digraph 149 ./datajourneys/intro-to-seismic-salt-and-how-to-geophysics_DN.digraph 916
.93258426966292134831 ./datajourneys/intro-to-tf-hub-for-object-detection_DJ.digraph 36 ./datajourneys/intro-to-tf-hub-for-object-detection_DN.digraph 534
.81342062193126022913 ./datajourneys/introduction-to-cnn-keras-0-997-top-6_DJ.digraph 114 ./datajourneys/introduction-to-cnn-keras-0-997-top-6_DN.digraph 611
.80609418282548476454 ./datajourneys/introduction-to-ensembling-stacking-in-python_DJ.digraph 210 ./datajourneys/introduction-to-ensembling-stacking-in-python_DN.digraph 1083
.83511586452762923351 ./datajourneys/introduction-to-feature-selection_DJ.digraph 185 ./datajourneys/introduction-to-feature-selection_DN.digraph 1122
.85240963855421686746 ./datajourneys/introduction-to-manual-feature-engineering-p2_DJ.digraph 147 ./datajourneys/introduction-to-manual-feature-engineering-p2_DN.digraph 996
.88688524590163934426 ./datajourneys/introduction-to-manual-feature-engineering_DJ.digraph 138 ./datajourneys/introduction-to-manual-feature-engineering_DN.digraph 1220
.97445972495088408644 ./datajourneys/investigation-about-dig-mnist-csv_DJ.digraph 26 ./datajourneys/investigation-about-dig-mnist-csv_DN.digraph 1018
.64690721649484536082 ./datajourneys/iris-data-visualization-with-ml_DJ.digraph 137 ./datajourneys/iris-data-visualization-with-ml_DN.digraph 388
.92311212814645308924 ./datajourneys/is-this-malware-eda-fe-and-lgb-updated_DJ.digraph 168 ./datajourneys/is-this-malware-eda-fe-and-lgb-updated_DN.digraph 2185
.92455242966751918158 ./datajourneys/jiazhen-to-armamut-via-gurchetan1000-0-56_DJ.digraph 59 ./datajourneys/jiazhen-to-armamut-via-gurchetan1000-0-56_DN.digraph 782
.93157894736842105263 ./datajourneys/just-speed-up-calculate-distance-from-benchmark_DJ.digraph 13 ./datajourneys/just-speed-up-calculate-distance-from-benchmark_DN.digraph 190
.88038585209003215434 ./datajourneys/kaggle-trends_DJ.digraph 186 ./datajourneys/kaggle-trends_DN.digraph 1555
.69897959183673469387 ./datajourneys/kaggle_DJ.digraph 177 ./datajourneys/kaggle_DN.digraph 588
.73153153153153153153 ./datajourneys/kannada-mnist_DJ.digraph 149 ./datajourneys/kannada-mnist_DN.digraph 555
.83825816485225505443 ./datajourneys/keras-baseline-lstm-attention-5-fold_DJ.digraph 104 ./datajourneys/keras-baseline-lstm-attention-5-fold_DN.digraph 643
.88457389428263214670 ./datajourneys/keras-convnet-lb-0-0052-w-visualization_DJ.digraph 107 ./datajourneys/keras-convnet-lb-0-0052-w-visualization_DN.digraph 927
.85890073831009023789 ./datajourneys/keras-efficientnetb2-for-classifying-cloud_DJ.digraph 172 ./datajourneys/keras-efficientnetb2-for-classifying-cloud_DN.digraph 1219
.83946078431372549019 ./datajourneys/keras-generator-for-reading-directly-from-bson_DJ.digraph 131 ./datajourneys/keras-generator-for-reading-directly-from-bson_DN.digraph 816
.80960086299892125134 ./datajourneys/keras-lgbm-aug-feature-eng-sampling-prediction_DJ.digraph 353 ./datajourneys/keras-lgbm-aug-feature-eng-sampling-prediction_DN.digraph 1854
.94857142857142857142 ./datajourneys/keras-model-for-beginners-0-210-on-lb-eda-r-d_DJ.digraph 27 ./datajourneys/keras-model-for-beginners-0-210-on-lb-eda-r-d_DN.digraph 525
.93804755944931163954 ./datajourneys/keras-neural-net-for-champs_DJ.digraph 99 ./datajourneys/keras-neural-net-for-champs_DN.digraph 1598
.84412955465587044534 ./datajourneys/keras-nn-with-embeddings-for-cat-features-1-15_DJ.digraph 154 ./datajourneys/keras-nn-with-embeddings-for-cat-features-1-15_DN.digraph 988
.93655589123867069486 ./datajourneys/keras-sequential-on-ships_DJ.digraph 21 ./datajourneys/keras-sequential-on-ships_DN.digraph 331
.82315112540192926045 ./datajourneys/keras-u-net-starter-lb-0-277_DJ.digraph 165 ./datajourneys/keras-u-net-starter-lb-0-277_DN.digraph 933
.83488372093023255813 ./datajourneys/keras-unet-with-eda_DJ.digraph 213 ./datajourneys/keras-unet-with-eda_DN.digraph 1290
.97701149425287356321 ./datajourneys/kerkar-modeling-e1ddeb_DJ.digraph 12 ./datajourneys/kerkar-modeling-e1ddeb_DN.digraph 522
.76323987538940809968 ./datajourneys/kernel-nn-multi-layer-perceptron_DJ.digraph 228 ./datajourneys/kernel-nn-multi-layer-perceptron_DN.digraph 963
.60948905109489051094 ./datajourneys/kernel-spotify-top-50-lyrics-vs-popularity_DJ.digraph 107 ./datajourneys/kernel-spotify-top-50-lyrics-vs-popularity_DN.digraph 274
.78052805280528052805 ./datajourneys/kiv-me-a-loan_DJ.digraph 133 ./datajourneys/kiv-me-a-loan_DN.digraph 606
.80925324675324675324 ./datajourneys/knowledge-distillation-with-nn-rankgauss_DJ.digraph 235 ./datajourneys/knowledge-distillation-with-nn-rankgauss_DN.digraph 1232
.90764331210191082802 ./datajourneys/kuzushiji-visualisation_DJ.digraph 29 ./datajourneys/kuzushiji-visualisation_DN.digraph 314
.90202177293934681181 ./datajourneys/lanl-earthquake-eda-and-prediction_DJ.digraph 126 ./datajourneys/lanl-earthquake-eda-and-prediction_DN.digraph 1286
.95309882747068676716 ./datajourneys/lanl-earthquake-prediction-signal-denoising_DJ.digraph 28 ./datajourneys/lanl-earthquake-prediction-signal-denoising_DN.digraph 597
.90625000000000000000 ./datajourneys/large-data-loading-trick-with-ms-malware-data_DJ.digraph 33 ./datajourneys/large-data-loading-trick-with-ms-malware-data_DN.digraph 352
.55576559546313799621 ./datajourneys/let-s-discover-more-about-the-olympic-games_DJ.digraph 235 ./datajourneys/let-s-discover-more-about-the-olympic-games_DN.digraph 529
.78317757009345794392 ./datajourneys/lgb-2-leaves-augment_DJ.digraph 116 ./datajourneys/lgb-2-leaves-augment_DN.digraph 535
.88620689655172413793 ./datajourneys/lgb-bayesian-parameters-finding-rank-average_DJ.digraph 66 ./datajourneys/lgb-bayesian-parameters-finding-rank-average_DN.digraph 580
.80952380952380952380 ./datajourneys/lgb-single-model-lb-0-9419_DJ.digraph 140 ./datajourneys/lgb-single-model-lb-0-9419_DN.digraph 735
.83217993079584775086 ./datajourneys/light-gbm-with-complete-eda_DJ.digraph 485 ./datajourneys/light-gbm-with-complete-eda_DN.digraph 2890
.80918727915194346289 ./datajourneys/lightgbm-fe-1-19_DJ.digraph 108 ./datajourneys/lightgbm-fe-1-19_DN.digraph 566
.97557003257328990228 ./datajourneys/lightgbm-goss-dart-parameter-tuning_DJ.digraph 15 ./datajourneys/lightgbm-goss-dart-parameter-tuning_DN.digraph 614
.86345381526104417670 ./datajourneys/lightgbm-hyperparameter-optimisation-lb-0-761_DJ.digraph 102 ./datajourneys/lightgbm-hyperparameter-optimisation-lb-0-761_DN.digraph 747
.81500000000000000000 ./datajourneys/lightgbm-xgboost-catboost_DJ.digraph 111 ./datajourneys/lightgbm-xgboost-catboost_DN.digraph 600
.49253731343283582089 ./datajourneys/line-charts_DJ.digraph 34 ./datajourneys/line-charts_DN.digraph 67
.78094059405940594059 ./datajourneys/linear-algebra-for-data-scientists_DJ.digraph 177 ./datajourneys/linear-algebra-for-data-scientists_DN.digraph 808
.71739130434782608695 ./datajourneys/linear-and-logistic-regression-in-sklearn_DJ.digraph 104 ./datajourneys/linear-and-logistic-regression-in-sklearn_DN.digraph 368
.84827586206896551724 ./datajourneys/lists-daily_DJ.digraph 22 ./datajourneys/lists-daily_DN.digraph 145
.84827586206896551724 ./datajourneys/lists_DJ.digraph 22 ./datajourneys/lists_DN.digraph 145
.82239382239382239382 ./datajourneys/literacy-rate-across-india_DJ.digraph 92 ./datajourneys/literacy-rate-across-india_DN.digraph 518
.71428571428571428571 ./datajourneys/literacy-rate-and-ratio-of-schools-in-india_DJ.digraph 104 ./datajourneys/literacy-rate-and-ratio-of-schools-in-india_DN.digraph 364
.95498392282958199356 ./datajourneys/load-the-totality-of-the-data_DJ.digraph 14 ./datajourneys/load-the-totality-of-the-data_DN.digraph 311
.83690987124463519313 ./datajourneys/locate-cities-according-weather-temperature_DJ.digraph 38 ./datajourneys/locate-cities-according-weather-temperature_DN.digraph 233
.65525672371638141809 ./datajourneys/logistic-regression-0-800_DJ.digraph 141 ./datajourneys/logistic-regression-0-800_DN.digraph 409
.86682242990654205607 ./datajourneys/logistic-regression-implementation_DJ.digraph 57 ./datajourneys/logistic-regression-implementation_DN.digraph 428
.69963369963369963369 ./datajourneys/logisticregression_DJ.digraph 82 ./datajourneys/logisticregression_DN.digraph 273
.84126984126984126984 ./datajourneys/loops-and-list-comprehensions-daily_DJ.digraph 20 ./datajourneys/loops-and-list-comprehensions-daily_DN.digraph 126
.84126984126984126984 ./datajourneys/loops-and-list-comprehensions_DJ.digraph 20 ./datajourneys/loops-and-list-comprehensions_DN.digraph 126
.98170731707317073170 ./datajourneys/loss-function-library-keras-pytorch_DJ.digraph 21 ./datajourneys/loss-function-library-keras-pytorch_DN.digraph 1148
.77811550151975683890 ./datajourneys/lstm-is-all-you-need-well-maybe-embeddings-also_DJ.digraph 73 ./datajourneys/lstm-is-all-you-need-well-maybe-embeddings-also_DN.digraph 329
.71186440677966101694 ./datajourneys/lstm-model-of-stockdata_DJ.digraph 136 ./datajourneys/lstm-model-of-stockdata_DN.digraph 472
.83333333333333333333 ./datajourneys/lstm-sentiment-analysis-keras_DJ.digraph 63 ./datajourneys/lstm-sentiment-analysis-keras_DN.digraph 378
.74890829694323144104 ./datajourneys/machine-learning-k-nearest-neighbour-exercise_DJ.digraph 115 ./datajourneys/machine-learning-k-nearest-neighbour-exercise_DN.digraph 458
.61322463768115942028 ./datajourneys/machine-learning-tutorial-for-beginners_DJ.digraph 427 ./datajourneys/machine-learning-tutorial-for-beginners_DN.digraph 1104
.68098159509202453987 ./datajourneys/magic-features-0-03-gain_DJ.digraph 52 ./datajourneys/magic-features-0-03-gain_DN.digraph 163
.93451463790446841294 ./datajourneys/magic-numbers-is-all-you-need-0-696-lb_DJ.digraph 85 ./datajourneys/magic-numbers-is-all-you-need-0-696-lb_DN.digraph 1298
.74587039390088945362 ./datajourneys/mall-customers-clustering-analysis_DJ.digraph 200 ./datajourneys/mall-customers-clustering-analysis_DN.digraph 787
.86917960088691796008 ./datajourneys/map-of-temperatures-and-analysis-of-global-warming_DJ.digraph 59 ./datajourneys/map-of-temperatures-and-analysis-of-global-warming_DN.digraph 451
.68412698412698412698 ./datajourneys/market-data-nn-baseline_DJ.digraph 199 ./datajourneys/market-data-nn-baseline_DN.digraph 630
.86683630195080576759 ./datajourneys/mask-rcnn-and-coco-transfer-learning-lb-0-155_DJ.digraph 157 ./datajourneys/mask-rcnn-and-coco-transfer-learning-lb-0-155_DN.digraph 1179
.89952153110047846889 ./datajourneys/mask-rcnn-detailed-starter-code_DJ.digraph 84 ./datajourneys/mask-rcnn-detailed-starter-code_DN.digraph 836
.73214285714285714285 ./datajourneys/masters-final-project-eda_DJ.digraph 210 ./datajourneys/masters-final-project-eda_DN.digraph 784
.97456964006259780907 ./datajourneys/masters-final-project-model-lb-1-392_DJ.digraph 65 ./datajourneys/masters-final-project-model-lb-1-392_DN.digraph 2556
.98249898249898249898 ./datajourneys/match-outcome-prediction-in-football_DJ.digraph 43 ./datajourneys/match-outcome-prediction-in-football_DN.digraph 2457
.95561959654178674351 ./datajourneys/mean-likelihood-encodings-a-comprehensive-study_DJ.digraph 77 ./datajourneys/mean-likelihood-encodings-a-comprehensive-study_DN.digraph 1735
.66666666666666666666 ./datajourneys/mesonet-result_DJ.digraph 18 ./datajourneys/mesonet-result_DN.digraph 54
.89267461669505962521 ./datajourneys/metrics-evaluation-script_DJ.digraph 63 ./datajourneys/metrics-evaluation-script_DN.digraph 587
.71428571428571428571 ./datajourneys/minimal-lstm-nb-svm-baseline-ensemble_DJ.digraph 14 ./datajourneys/minimal-lstm-nb-svm-baseline-ensemble_DN.digraph 49
.24434389140271493212 ./datajourneys/missing-values_DJ.digraph 167 ./datajourneys/missing-values_DN.digraph 221
.89647058823529411764 ./datajourneys/mix-of-nn-models-based-on-meta-embedding_DJ.digraph 132 ./datajourneys/mix-of-nn-models-based-on-meta-embedding_DN.digraph 1275
.62463768115942028985 ./datajourneys/ml-from-scratch-part-2_DJ.digraph 259 ./datajourneys/ml-from-scratch-part-2_DN.digraph 690
.68482490272373540856 ./datajourneys/mnist-with-keras-for-beginners-99457_DJ.digraph 324 ./datajourneys/mnist-with-keras-for-beginners-99457_DN.digraph 1028
.84530386740331491712 ./datajourneys/model-free-benchmark_DJ.digraph 28 ./datajourneys/model-free-benchmark_DN.digraph 181
.77293428757319453480 ./datajourneys/model-stacking-feature-engineering-and-eda_DJ.digraph 349 ./datajourneys/model-stacking-feature-engineering-and-eda_DN.digraph 1537
.90357529794149512459 ./datajourneys/model-validation-in-a-competition_DJ.digraph 89 ./datajourneys/model-validation-in-a-competition_DN.digraph 923
.75000000000000000000 ./datajourneys/model-validation_DJ.digraph 23 ./datajourneys/model-validation_DN.digraph 92
.80869565217391304347 ./datajourneys/modified-naive-bayes-santander-0-899_DJ.digraph 110 ./datajourneys/modified-naive-bayes-santander-0-899_DN.digraph 575
.87376725838264299802 ./datajourneys/molecular-properties-eda-and-models_DJ.digraph 256 ./datajourneys/molecular-properties-eda-and-models_DN.digraph 2028
.77611940298507462686 ./datajourneys/movie-classification-of-rotten-tomatoes-reviews_DJ.digraph 90 ./datajourneys/movie-classification-of-rotten-tomatoes-reviews_DN.digraph 402
.88202866593164277839 ./datajourneys/movie-recommender-systems_DJ.digraph 107 ./datajourneys/movie-recommender-systems_DN.digraph 907
.85763293310463121783 ./datajourneys/movie-review-sentiment-analysis-eda-and-models_DJ.digraph 166 ./datajourneys/movie-review-sentiment-analysis-eda-and-models_DN.digraph 1166
.75984251968503937007 ./datajourneys/multi-feature-linear-regression_DJ.digraph 122 ./datajourneys/multi-feature-linear-regression_DN.digraph 508
.76388888888888888888 ./datajourneys/multilabel-classification-rainforest-eda_DJ.digraph 68 ./datajourneys/multilabel-classification-rainforest-eda_DN.digraph 288
.77208706786171574903 ./datajourneys/my-first-kernel-3-699_DJ.digraph 178 ./datajourneys/my-first-kernel-3-699_DN.digraph 781
.79146919431279620853 ./datajourneys/naive-benchmark-galactic-vs-extragalactic_DJ.digraph 44 ./datajourneys/naive-benchmark-galactic-vs-extragalactic_DN.digraph 211
.79146919431279620853 ./datajourneys/nb-svm-strong-linear-baseline_DJ.digraph 44 ./datajourneys/nb-svm-strong-linear-baseline_DN.digraph 211
.81358024691358024691 ./datajourneys/nested-unet-with-efficientnet-encoder_DJ.digraph 453 ./datajourneys/nested-unet-with-efficientnet-encoder_DN.digraph 2430
.77898550724637681159 ./datajourneys/netflix-movie-recommendation_DJ.digraph 122 ./datajourneys/netflix-movie-recommendation_DN.digraph 552
.72415865384615384615 ./datajourneys/netflix-movies-and-tv-shows-feat-plotly_DJ.digraph 459 ./datajourneys/netflix-movies-and-tv-shows-feat-plotly_DN.digraph 1664
.94782608695652173913 ./datajourneys/networkprioritization_DJ.digraph 6 ./datajourneys/networkprioritization_DN.digraph 115
.91742522756827048114 ./datajourneys/neural-network-with-mae-objective-0-01381_DJ.digraph 127 ./datajourneys/neural-network-with-mae-objective-0-01381_DN.digraph 1538
.79463087248322147651 ./datajourneys/new-ucf-starter-kernel_DJ.digraph 306 ./datajourneys/new-ucf-starter-kernel_DN.digraph 1490
.85204081632653061224 ./datajourneys/nffm-baseline-0-690-on-lb_DJ.digraph 87 ./datajourneys/nffm-baseline-0-690-on-lb_DN.digraph 588
.86993243243243243243 ./datajourneys/nfl-1st-and-future-analytics-intro_DJ.digraph 77 ./datajourneys/nfl-1st-and-future-analytics-intro_DN.digraph 592
.86710239651416122004 ./datajourneys/nfl-analytics_DJ.digraph 61 ./datajourneys/nfl-analytics_DN.digraph 459
.72413793103448275862 ./datajourneys/nfl-big-data-bowl-official-starter-notebook_DJ.digraph 16 ./datajourneys/nfl-big-data-bowl-official-starter-notebook_DN.digraph 58
.86392405063291139240 ./datajourneys/nfl-big-data-bowl-plotting-player-position_DJ.digraph 43 ./datajourneys/nfl-big-data-bowl-plotting-player-position_DN.digraph 316
.63338301043219076005 ./datajourneys/nfl-simple-model-using-lightgbm_DJ.digraph 246 ./datajourneys/nfl-simple-model-using-lightgbm_DN.digraph 671
.72473118279569892473 ./datajourneys/note-prediction-results-of-kernel-rank_DJ.digraph 256 ./datajourneys/note-prediction-results-of-kernel-rank_DN.digraph 930
.81111111111111111111 ./datajourneys/notebookd19d11e4f2_DJ.digraph 85 ./datajourneys/notebookd19d11e4f2_DN.digraph 450
.77904040404040404040 ./datajourneys/nuclei-overview-to-submission_DJ.digraph 175 ./datajourneys/nuclei-overview-to-submission_DN.digraph 792
.78354978354978354978 ./datajourneys/ny-stock-price-prediction-rnn-lstm-gru_DJ.digraph 150 ./datajourneys/ny-stock-price-prediction-rnn-lstm-gru_DN.digraph 693
.78658536585365853658 ./datajourneys/nyc-taxi-fare-starter-kernel-simple-linear-model_DJ.digraph 35 ./datajourneys/nyc-taxi-fare-starter-kernel-simple-linear-model_DN.digraph 164
.78799392097264437689 ./datajourneys/nyct-from-a-to-z-with-xgboost-tutorial_DJ.digraph 279 ./datajourneys/nyct-from-a-to-z-with-xgboost-tutorial_DN.digraph 1316
.66527196652719665271 ./datajourneys/omg-nlp-with-the-djia-and-reddit_DJ.digraph 80 ./datajourneys/omg-nlp-with-the-djia-and-reddit_DN.digraph 239
.92202572347266881028 ./datajourneys/oop-approach-to-fe-and-models_DJ.digraph 194 ./datajourneys/oop-approach-to-fe-and-models_DN.digraph 2488
.87692307692307692307 ./datajourneys/optimizer-for-quadratic-weighted-kappa_DJ.digraph 24 ./datajourneys/optimizer-for-quadratic-weighted-kappa_DN.digraph 195
.93028443948689347462 ./datajourneys/optuna-tutorial-for-hyperparameter-optimization_DJ.digraph 125 ./datajourneys/optuna-tutorial-for-hyperparameter-optimization_DN.digraph 1793
.73809523809523809523 ./datajourneys/ordinal-and-nominal-value-encoding-mice-imputation_DJ.digraph 154 ./datajourneys/ordinal-and-nominal-value-encoding-mice-imputation_DN.digraph 588
.66111111111111111111 ./datajourneys/outbrain-eda_DJ.digraph 122 ./datajourneys/outbrain-eda_DN.digraph 360
.74853801169590643274 ./datajourneys/outlier-tutorial_DJ.digraph 43 ./datajourneys/outlier-tutorial_DN.digraph 171
.77611940298507462686 ./datajourneys/pandas-pd-to-numeric_DJ.digraph 15 ./datajourneys/pandas-pd-to-numeric_DN.digraph 67
.87248322147651006711 ./datajourneys/partial-dependence-plots_DJ.digraph 19 ./datajourneys/partial-dependence-plots_DN.digraph 149
.72164948453608247422 ./datajourneys/partial-plots_DJ.digraph 54 ./datajourneys/partial-plots_DN.digraph 194
.75897435897435897435 ./datajourneys/particle-swarm-op_DJ.digraph 47 ./datajourneys/particle-swarm-op_DN.digraph 195
.80388978930307941653 ./datajourneys/patient-charges-clustering-and-regression_DJ.digraph 484 ./datajourneys/patient-charges-clustering-and-regression_DN.digraph 2468
.83333333333333333333 ./datajourneys/patterns-of-missing-data_DJ.digraph 17 ./datajourneys/patterns-of-missing-data_DN.digraph 102
.80198019801980198019 ./datajourneys/permutation-importance_DJ.digraph 20 ./datajourneys/permutation-importance_DN.digraph 101
.76119402985074626865 ./datajourneys/pgh-kaggle-comp-sf-crime-classification_DJ.digraph 16 ./datajourneys/pgh-kaggle-comp-sf-crime-classification_DN.digraph 67
.78465346534653465346 ./datajourneys/physical-meanings-of-technical-20-30_DJ.digraph 87 ./datajourneys/physical-meanings-of-technical-20-30_DN.digraph 404
.74251497005988023952 ./datajourneys/pipelines_DJ.digraph 43 ./datajourneys/pipelines_DN.digraph 167
.88433382137628111273 ./datajourneys/pku-autonomous-driving-eda-and-visualisation_DJ.digraph 79 ./datajourneys/pku-autonomous-driving-eda-and-visualisation_DN.digraph 683
.79638009049773755656 ./datajourneys/plotly-tutorial-1_DJ.digraph 450 ./datajourneys/plotly-tutorial-1_DN.digraph 2210
.86794582392776523702 ./datajourneys/plotly-tutorial-for-beginners_DJ.digraph 117 ./datajourneys/plotly-tutorial-for-beginners_DN.digraph 886
.87320574162679425837 ./datajourneys/pneumothorax-fastai-u-net_DJ.digraph 53 ./datajourneys/pneumothorax-fastai-u-net_DN.digraph 418
.78448275862068965517 ./datajourneys/pre-processing-train-and-test-images_DJ.digraph 75 ./datajourneys/pre-processing-train-and-test-images_DN.digraph 348
.87818696883852691218 ./datajourneys/predicting-creditcard-fraud-using-dt-rm-bagging_DJ.digraph 86 ./datajourneys/predicting-creditcard-fraud-using-dt-rm-bagging_DN.digraph 706
.82784810126582278481 ./datajourneys/predicting-employee-kernelover_DJ.digraph 204 ./datajourneys/predicting-employee-kernelover_DN.digraph 1185
.74168797953964194373 ./datajourneys/predicting-fish-weight_DJ.digraph 101 ./datajourneys/predicting-fish-weight_DN.digraph 391
.82188841201716738197 ./datajourneys/predicting-mulliken-charges-with-acsf-descriptors_DJ.digraph 83 ./datajourneys/predicting-mulliken-charges-with-acsf-descriptors_DN.digraph 466
.78402366863905325443 ./datajourneys/prediction-of-quality-of-wine_DJ.digraph 73 ./datajourneys/prediction-of-quality-of-wine_DN.digraph 338
.78330995792426367461 ./datajourneys/predictive-analysis-with-different-approaches_DJ.digraph 309 ./datajourneys/predictive-analysis-with-different-approaches_DN.digraph 1426
.74885844748858447488 ./datajourneys/preprocessing-model-averaging-by-xgb-lgb-1-39_DJ.digraph 165 ./datajourneys/preprocessing-model-averaging-by-xgb-lgb-1-39_DN.digraph 657
.96134020618556701030 ./datajourneys/pretrained-inceptionresnetv2-base-classifier_DJ.digraph 30 ./datajourneys/pretrained-inceptionresnetv2-base-classifier_DN.digraph 776
.81410256410256410256 ./datajourneys/principal-component-analysis-explained_DJ.digraph 58 ./datajourneys/principal-component-analysis-explained_DN.digraph 312
.71264367816091954022 ./datajourneys/principal-component-analysis-with-kmeans-visuals_DJ.digraph 75 ./datajourneys/principal-component-analysis-with-kmeans-visuals_DN.digraph 261
.75974842767295597484 ./datajourneys/private-lb-probing-0-950_DJ.digraph 191 ./datajourneys/private-lb-probing-0-950_DN.digraph 795
.66630316248636859323 ./datajourneys/probability-of-earthquake-eda-fe-5-models_DJ.digraph 306 ./datajourneys/probability-of-earthquake-eda-fe-5-models_DN.digraph 917
.71028037383177570093 ./datajourneys/probing-private-lb_DJ.digraph 31 ./datajourneys/probing-private-lb_DN.digraph 107
.74691358024691358024 ./datajourneys/pseudo-labeling-qda-0-969_DJ.digraph 82 ./datajourneys/pseudo-labeling-qda-0-969_DN.digraph 324
.75394614670380687093 ./datajourneys/pubg-data-exploration-rf-funny-gifs_DJ.digraph 265 ./datajourneys/pubg-data-exploration-rf-funny-gifs_DN.digraph 1077
.99587860621955788684 ./datajourneys/public-version-text-cleaning-vocab-65_DJ.digraph 66 ./datajourneys/public-version-text-cleaning-vocab-65_DN.digraph 16014
.77138898510564599930 ./datajourneys/pytanic_DJ.digraph 660 ./datajourneys/pytanic_DN.digraph 2887
.86626139817629179331 ./datajourneys/python-nltk-sentiment-analysis_DJ.digraph 44 ./datajourneys/python-nltk-sentiment-analysis_DN.digraph 329
.91610738255033557046 ./datajourneys/python-target-encoding-for-categorical-features_DJ.digraph 25 ./datajourneys/python-target-encoding-for-categorical-features_DN.digraph 298
.91807909604519774011 ./datajourneys/pytorch-bert-baseline_DJ.digraph 58 ./datajourneys/pytorch-bert-baseline_DN.digraph 708
.86713286713286713286 ./datajourneys/pytorch-bert-inference_DJ.digraph 38 ./datajourneys/pytorch-bert-inference_DN.digraph 286
.81954887218045112781 ./datajourneys/pytorch-inference-kernel-lazy-tta_DJ.digraph 96 ./datajourneys/pytorch-inference-kernel-lazy-tta_DN.digraph 532
.93501805054151624548 ./datajourneys/pytorch-starter_DJ.digraph 90 ./datajourneys/pytorch-starter_DN.digraph 1385
.77373558118899733806 ./datajourneys/pytorch-tutorial-for-deep-learning-lovers_DJ.digraph 255 ./datajourneys/pytorch-tutorial-for-deep-learning-lovers_DN.digraph 1127
.67280606717226435536 ./datajourneys/pytorchlenet_DJ.digraph 302 ./datajourneys/pytorchlenet_DN.digraph 923
.90674603174603174603 ./datajourneys/q-a-with-only-pictures_DJ.digraph 94 ./datajourneys/q-a-with-only-pictures_DN.digraph 1008
.76666666666666666666 ./datajourneys/quadratic-discriminant-analysis_DJ.digraph 49 ./datajourneys/quadratic-discriminant-analysis_DN.digraph 210
.90692124105011933174 ./datajourneys/quadratic-kappa-metric-explained-in-5-simple-steps_DJ.digraph 39 ./datajourneys/quadratic-kappa-metric-explained-in-5-simple-steps_DN.digraph 419
.94142912924638812963 ./datajourneys/quick-and-dirty-regression_DJ.digraph 150 ./datajourneys/quick-and-dirty-regression_DN.digraph 2561
.70890410958904109589 ./datajourneys/quick-visualization-eda_DJ.digraph 85 ./datajourneys/quick-visualization-eda_DN.digraph 292
.92176870748299319727 ./datajourneys/quickdraw-baseline-lstm-reading-and-submission_DJ.digraph 69 ./datajourneys/quickdraw-baseline-lstm-reading-and-submission_DN.digraph 882
.84042553191489361702 ./datajourneys/ralsgan-dogs_DJ.digraph 105 ./datajourneys/ralsgan-dogs_DN.digraph 658
.77777777777777777777 ./datajourneys/random-forest-starter-with-numerical-features_DJ.digraph 52 ./datajourneys/random-forest-starter-with-numerical-features_DN.digraph 234
.78571428571428571428 ./datajourneys/random-forests_DJ.digraph 18 ./datajourneys/random-forests_DN.digraph 84
.89048473967684021543 ./datajourneys/rare-visualization-tools_DJ.digraph 61 ./datajourneys/rare-visualization-tools_DN.digraph 557
.55172413793103448275 ./datajourneys/recommendation-systems-tutorial_DJ.digraph 39 ./datajourneys/recommendation-systems-tutorial_DN.digraph 87
.88656195462478184991 ./datajourneys/recommender-systems-in-python-101_DJ.digraph 130 ./datajourneys/recommender-systems-in-python-101_DN.digraph 1146
.76724137931034482758 ./datajourneys/reconstruction-of-ps-reg-03_DJ.digraph 54 ./datajourneys/reconstruction-of-ps-reg-03_DN.digraph 232
.78026905829596412556 ./datajourneys/recurrent-neural-network-with-pytorch_DJ.digraph 98 ./datajourneys/recurrent-neural-network-with-pytorch_DN.digraph 446
.88823529411764705882 ./datajourneys/reducing-dataframe-memory-size-by-65_DJ.digraph 19 ./datajourneys/reducing-dataframe-memory-size-by-65_DN.digraph 170
.74048442906574394463 ./datajourneys/reducing-memory-size-for-ieee_DJ.digraph 75 ./datajourneys/reducing-memory-size-for-ieee_DN.digraph 289
.77576293675364882795 ./datajourneys/reference-model_DJ.digraph 507 ./datajourneys/reference-model_DN.digraph 2261
.73867595818815331010 ./datajourneys/regress-o-linear-house-sales-in-country-usa_DJ.digraph 75 ./datajourneys/regress-o-linear-house-sales-in-country-usa_DN.digraph 287
.63876651982378854625 ./datajourneys/regularized-linear-models_DJ.digraph 164 ./datajourneys/regularized-linear-models_DN.digraph 454
.61290322580645161290 ./datajourneys/renaming-and-combining_DJ.digraph 24 ./datajourneys/renaming-and-combining_DN.digraph 62
.82407407407407407407 ./datajourneys/resampling-strategies-for-imbalanced-datasets_DJ.digraph 95 ./datajourneys/resampling-strategies-for-imbalanced-datasets_DN.digraph 540
.73358116480793060718 ./datajourneys/road-to-viz-expert-1-unusual-tools_DJ.digraph 215 ./datajourneys/road-to-viz-expert-1-unusual-tools_DN.digraph 807
.90252707581227436823 ./datajourneys/roberta-fastai-huggingface-transformers_DJ.digraph 54 ./datajourneys/roberta-fastai-huggingface-transformers_DN.digraph 554
.86666666666666666666 ./datajourneys/roc-curve-with-k-fold-cv_DJ.digraph 38 ./datajourneys/roc-curve-with-k-fold-cv_DN.digraph 285
.78010471204188481675 ./datajourneys/rsna-ih-detection-eda_DJ.digraph 210 ./datajourneys/rsna-ih-detection-eda_DN.digraph 955
.80710659898477157360 ./datajourneys/run-length-decoding-quick-start_DJ.digraph 38 ./datajourneys/run-length-decoding-quick-start_DN.digraph 197
.95532646048109965635 ./datajourneys/running-kaggle-kernels-with-a-gpu_DJ.digraph 13 ./datajourneys/running-kaggle-kernels-with-a-gpu_DN.digraph 291
.94517338331771321462 ./datajourneys/russia-usa-india-and-other-countries_DJ.digraph 117 ./datajourneys/russia-usa-india-and-other-countries_DN.digraph 2134
.75280898876404494382 ./datajourneys/s-p-500-time-series-forecasting-with-prophet_DJ.digraph 330 ./datajourneys/s-p-500-time-series-forecasting-with-prophet_DN.digraph 1335
.73684210526315789473 ./datajourneys/sales-pred-using-ml_DJ.digraph 40 ./datajourneys/sales-pred-using-ml_DN.digraph 152
.85341365461847389558 ./datajourneys/santa-finances-a-closer-look-at-the-costs_DJ.digraph 73 ./datajourneys/santa-finances-a-closer-look-at-the-costs_DN.digraph 498
.95633187772925764192 ./datajourneys/santa-ip_DJ.digraph 40 ./datajourneys/santa-ip_DN.digraph 916
.86627906976744186046 ./datajourneys/santa-s-2019-starter-notebook_DJ.digraph 46 ./datajourneys/santa-s-2019-starter-notebook_DN.digraph 344
.85176824680210684725 ./datajourneys/santa-s-workshop-eda-sorting-visualization_DJ.digraph 197 ./datajourneys/santa-s-workshop-eda-sorting-visualization_DN.digraph 1329
.72198275862068965517 ./datajourneys/santander-customer-transaction-eda_DJ.digraph 258 ./datajourneys/santander-customer-transaction-eda_DN.digraph 928
.79772079772079772079 ./datajourneys/santander-eda-and-prediction_DJ.digraph 284 ./datajourneys/santander-eda-and-prediction_DN.digraph 1404
.83185053380782918149 ./datajourneys/santander-eda-fe-fs-and-models_DJ.digraph 189 ./datajourneys/santander-eda-fe-fs-and-models_DN.digraph 1124
.74242424242424242424 ./datajourneys/santander-lightgbm-baseline-lb-0-899_DJ.digraph 221 ./datajourneys/santander-lightgbm-baseline-lb-0-899_DN.digraph 858
.96247531270572745227 ./datajourneys/satellite-clouds-u-net-with-resnet-encoder_DJ.digraph 57 ./datajourneys/satellite-clouds-u-net-with-resnet-encoder_DN.digraph 1519
.80114449213161659513 ./datajourneys/save-the-energy-for-the-future-3-predictions_DJ.digraph 139 ./datajourneys/save-the-energy-for-the-future-3-predictions_DN.digraph 699
.90780809031044214487 ./datajourneys/schnet-starter-kit_DJ.digraph 98 ./datajourneys/schnet-starter-kit_DN.digraph 1063
.86123348017621145374 ./datajourneys/scikit-learn-ml-from-start-to-finish_DJ.digraph 63 ./datajourneys/scikit-learn-ml-from-start-to-finish_DN.digraph 454
.91722595078299776286 ./datajourneys/see-like-a-radiologist-with-systematic-windowing_DJ.digraph 37 ./datajourneys/see-like-a-radiologist-with-systematic-windowing_DN.digraph 447
.67741935483870967741 ./datajourneys/seedlings-pretrained-keras-models_DJ.digraph 190 ./datajourneys/seedlings-pretrained-keras-models_DN.digraph 589
.83322432962720732504 ./datajourneys/segmentation-in-pytorch-using-convenient-tools_DJ.digraph 255 ./datajourneys/segmentation-in-pytorch-using-convenient-tools_DN.digraph 1529
.82003546099290780141 ./datajourneys/seismic-data-eda-and-baseline_DJ.digraph 203 ./datajourneys/seismic-data-eda-and-baseline_DN.digraph 1128
.85534591194968553459 ./datajourneys/seismic-data-exploration_DJ.digraph 115 ./datajourneys/seismic-data-exploration_DN.digraph 795
.84615384615384615384 ./datajourneys/select-from-where_DJ.digraph 22 ./datajourneys/select-from-where_DN.digraph 143
.54838709677419354838 ./datajourneys/selecting-and-filtering-in-pandas_DJ.digraph 14 ./datajourneys/selecting-and-filtering-in-pandas_DN.digraph 31
.87375415282392026578 ./datajourneys/selling-life-insurance-to-titanic-passengers_DJ.digraph 38 ./datajourneys/selling-life-insurance-to-titanic-passengers_DN.digraph 301
.69047619047619047619 ./datajourneys/semi-supervised-classification-using-autoencoders_DJ.digraph 273 ./datajourneys/semi-supervised-classification-using-autoencoders_DN.digraph 882
.67337807606263982102 ./datajourneys/severstal-mlcomp-catalyst-infer-0-90672_DJ.digraph 146 ./datajourneys/severstal-mlcomp-catalyst-infer-0-90672_DN.digraph 447
.90398126463700234192 ./datajourneys/severstal-predict-missing-masks_DJ.digraph 41 ./datajourneys/severstal-predict-missing-masks_DN.digraph 427
.90226244343891402714 ./datajourneys/severstal-simple-2-step-pipeline_DJ.digraph 108 ./datajourneys/severstal-simple-2-step-pipeline_DN.digraph 1105
.92459943449575871819 ./datajourneys/severstal-simple-keras-u-net-boilerplate_DJ.digraph 80 ./datajourneys/severstal-simple-keras-u-net-boilerplate_DN.digraph 1061
.82329317269076305220 ./datajourneys/shaking-earth_DJ.digraph 88 ./datajourneys/shaking-earth_DN.digraph 498
.86885245901639344262 ./datajourneys/shap-values_DJ.digraph 16 ./datajourneys/shap-values_DN.digraph 122
.76958525345622119815 ./datajourneys/shuffle-csvs_DJ.digraph 50 ./datajourneys/shuffle-csvs_DN.digraph 217
.82628398791540785498 ./datajourneys/sign-language-mnist_DJ.digraph 115 ./datajourneys/sign-language-mnist_DN.digraph 662
.96393841166936790923 ./datajourneys/similarity-densenet121-0-805lb-kernel-time-limit_DJ.digraph 89 ./datajourneys/similarity-densenet121-0-805lb-kernel-time-limit_DN.digraph 2468
.92063492063492063492 ./datajourneys/simple-2d-cnn-classifier-with-pytorch_DJ.digraph 80 ./datajourneys/simple-2d-cnn-classifier-with-pytorch_DN.digraph 1008
.96247240618101545253 ./datajourneys/simple-bayesian-optimization-for-lightgbm_DJ.digraph 17 ./datajourneys/simple-bayesian-optimization-for-lightgbm_DN.digraph 453
.95555555555555555555 ./datajourneys/simple-eda-text-preprocessing-jigsaw_DJ.digraph 158 ./datajourneys/simple-eda-text-preprocessing-jigsaw_DN.digraph 3555
.75228658536585365853 ./datajourneys/simple-exploration-baseline-ga-customer-revenue_DJ.digraph 325 ./datajourneys/simple-exploration-baseline-ga-customer-revenue_DN.digraph 1312
.72375690607734806629 ./datajourneys/simple-exploration-baseline-notebook-avito_DJ.digraph 350 ./datajourneys/simple-exploration-baseline-notebook-avito_DN.digraph 1267
.68108974358974358974 ./datajourneys/simple-exploration-notebook-2-connect_DJ.digraph 199 ./datajourneys/simple-exploration-notebook-2-connect_DN.digraph 624
.69207317073170731707 ./datajourneys/simple-exploration-notebook-5_DJ.digraph 101 ./datajourneys/simple-exploration-notebook-5_DN.digraph 328
.87288135593220338983 ./datajourneys/simple-exploration-notebook-ashrae_DJ.digraph 120 ./datajourneys/simple-exploration-notebook-ashrae_DN.digraph 944
.61102106969205834683 ./datajourneys/simple-exploration-notebook-instacart_DJ.digraph 240 ./datajourneys/simple-exploration-notebook-instacart_DN.digraph 617
.63807531380753138075 ./datajourneys/simple-exploration-notebook-kiva_DJ.digraph 173 ./datajourneys/simple-exploration-notebook-kiva_DN.digraph 478
.68048128342245989304 ./datajourneys/simple-exploration-notebook-mercedes_DJ.digraph 239 ./datajourneys/simple-exploration-notebook-mercedes_DN.digraph 748
.78295605858854860186 ./datajourneys/simple-exploration-notebook-nfl_DJ.digraph 163 ./datajourneys/simple-exploration-notebook-nfl_DN.digraph 751
.73415132924335378323 ./datajourneys/simple-exploration-notebook-qiqc_DJ.digraph 260 ./datajourneys/simple-exploration-notebook-qiqc_DN.digraph 978
.73469387755102040816 ./datajourneys/simple-exploration-notebook-sberbank_DJ.digraph 130 ./datajourneys/simple-exploration-notebook-sberbank_DN.digraph 490
.78840579710144927536 ./datajourneys/simple-exploratory-data-analysis-passnyc_DJ.digraph 365 ./datajourneys/simple-exploratory-data-analysis-passnyc_DN.digraph 1725
.67206477732793522267 ./datajourneys/simple-leaky-exploration-notebook-quora_DJ.digraph 162 ./datajourneys/simple-leaky-exploration-notebook-quora_DN.digraph 494
.83896940418679549114 ./datajourneys/simple-lgbm-solution_DJ.digraph 100 ./datajourneys/simple-lgbm-solution_DN.digraph 621
.76706827309236947791 ./datajourneys/simple-linear-stacking-lb-9730_DJ.digraph 58 ./datajourneys/simple-linear-stacking-lb-9730_DN.digraph 249
.89606741573033707865 ./datajourneys/simple-lstm-pytorch-version_DJ.digraph 74 ./datajourneys/simple-lstm-pytorch-version_DN.digraph 712
.88189987163029525032 ./datajourneys/simple-lstm-with-identity-parameters-fastai_DJ.digraph 92 ./datajourneys/simple-lstm-with-identity-parameters-fastai_DN.digraph 779
.79501385041551246537 ./datajourneys/simple-neural-net-for-time-series-classification_DJ.digraph 222 ./datajourneys/simple-neural-net-for-time-series-classification_DN.digraph 1083
.84084084084084084084 ./datajourneys/simple-quant-features-using-python_DJ.digraph 106 ./datajourneys/simple-quant-features-using-python_DN.digraph 666
.71966527196652719665 ./datajourneys/simple-recommendation-engine_DJ.digraph 67 ./datajourneys/simple-recommendation-engine_DN.digraph 239
.71238095238095238095 ./datajourneys/simple-tutorial-for-beginners_DJ.digraph 151 ./datajourneys/simple-tutorial-for-beginners_DN.digraph 525
.78212290502793296089 ./datajourneys/simple-tutorial-how-to-handle-missing-data_DJ.digraph 39 ./datajourneys/simple-tutorial-how-to-handle-missing-data_DN.digraph 179
.80227655986509274873 ./datajourneys/single-xgboost-model_DJ.digraph 469 ./datajourneys/single-xgboost-model_DN.digraph 2372
.83333333333333333333 ./datajourneys/six-steps-to-more-professional-data-science-code_DJ.digraph 6 ./datajourneys/six-steps-to-more-professional-data-science-code_DN.digraph 36
.90490797546012269938 ./datajourneys/smape-weirdness_DJ.digraph 31 ./datajourneys/smape-weirdness_DN.digraph 326
.90995260663507109004 ./datajourneys/some-dicom-gotchas-to-be-aware-of-fastai_DJ.digraph 19 ./datajourneys/some-dicom-gotchas-to-be-aware-of-fastai_DN.digraph 211
.82267689684569479965 ./datajourneys/speech-representation-and-data-exploration_DJ.digraph 208 ./datajourneys/speech-representation-and-data-exploration_DN.digraph 1173
.95454545454545454545 ./datajourneys/speed-up-your-preprocessing_DJ.digraph 14 ./datajourneys/speed-up-your-preprocessing_DN.digraph 308
.90579710144927536231 ./datajourneys/spell-checker-using-word2vec_DJ.digraph 13 ./datajourneys/spell-checker-using-word2vec_DN.digraph 138
.89996687644915534945 ./datajourneys/spending-for-ms-in-data-science-worth-it_DJ.digraph 302 ./datajourneys/spending-for-ms-in-data-science-worth-it_DN.digraph 3019
.91417165668662674650 ./datajourneys/sql-and-python-primer-bokeh-plotly_DJ.digraph 86 ./datajourneys/sql-and-python-primer-bokeh-plotly_DN.digraph 1002
.62162162162162162162 ./datajourneys/sql-scavenger-hunt-day-1_DJ.digraph 14 ./datajourneys/sql-scavenger-hunt-day-1_DN.digraph 37
.61764705882352941176 ./datajourneys/sql-scavenger-hunt-day-2_DJ.digraph 13 ./datajourneys/sql-scavenger-hunt-day-2_DN.digraph 34
.80000000000000000000 ./datajourneys/sql-scavenger-hunt-handbook_DJ.digraph 10 ./datajourneys/sql-scavenger-hunt-handbook_DN.digraph 50
.86309830159547092125 ./datajourneys/stack-over-flow-results_DJ.digraph 266 ./datajourneys/stack-over-flow-results_DN.digraph 1943
.76061776061776061776 ./datajourneys/stacked-regressions-top-4-on-leaderboard_DJ.digraph 310 ./datajourneys/stacked-regressions-top-4-on-leaderboard_DN.digraph 1295
.87521367521367521367 ./datajourneys/starter-arthropod-taxonomy-orders-testset_DJ.digraph 73 ./datajourneys/starter-arthropod-taxonomy-orders-testset_DN.digraph 585
.86123853211009174311 ./datajourneys/starter-eda-and-feature-selection-ashrae3_DJ.digraph 121 ./datajourneys/starter-eda-and-feature-selection-ashrae3_DN.digraph 872
.83870967741935483870 ./datajourneys/starter-explore-youtube8m-sample-data_DJ.digraph 65 ./datajourneys/starter-explore-youtube8m-sample-data_DN.digraph 403
.95708154506437768240 ./datajourneys/starter-kernel-for-0-79_DJ.digraph 60 ./datajourneys/starter-kernel-for-0-79_DN.digraph 1398
.74472573839662447257 ./datajourneys/statistical-learning-tutorial-for-beginners_DJ.digraph 121 ./datajourneys/statistical-learning-tutorial-for-beginners_DN.digraph 474
.71830985915492957746 ./datajourneys/step-by-step-diabetes-classification-knn-detailed_DJ.digraph 160 ./datajourneys/step-by-step-diabetes-classification-knn-detailed_DN.digraph 568
.67266187050359712230 ./datajourneys/step-by-step-explanation-of-scoring-metric_DJ.digraph 182 ./datajourneys/step-by-step-explanation-of-scoring-metric_DN.digraph 556
.99247176913425345043 ./datajourneys/strategy-evaluation-what-helps-and-by-how-much_DJ.digraph 6 ./datajourneys/strategy-evaluation-what-helps-and-by-how-much_DN.digraph 797
.87955182072829131652 ./datajourneys/student-community-in-kaggle_DJ.digraph 172 ./datajourneys/student-community-in-kaggle_DN.digraph 1428
.56097560975609756097 ./datajourneys/student-performance-correlation_DJ.digraph 18 ./datajourneys/student-performance-correlation_DN.digraph 41
.90598290598290598290 ./datajourneys/student-performance-in-exams_DJ.digraph 22 ./datajourneys/student-performance-in-exams_DN.digraph 234
.57142857142857142857 ./datajourneys/submitting-from-a-kernel_DJ.digraph 30 ./datajourneys/submitting-from-a-kernel_DN.digraph 70
.68656716417910447761 ./datajourneys/summary-functions-and-maps_DJ.digraph 21 ./datajourneys/summary-functions-and-maps_DN.digraph 67
.87323943661971830985 ./datajourneys/super-sized-we-mcdonald-s-nutritional-metrics_DJ.digraph 81 ./datajourneys/super-sized-we-mcdonald-s-nutritional-metrics_DN.digraph 639
.62162162162162162162 ./datajourneys/support-vector-machine-0-925_DJ.digraph 168 ./datajourneys/support-vector-machine-0-925_DN.digraph 444
.88599348534201954397 ./datajourneys/synthetic-data-for-next-instant-gratification_DJ.digraph 70 ./datajourneys/synthetic-data-for-next-instant-gratification_DN.digraph 614
.87182203389830508474 ./datajourneys/tackling-class-imbalance_DJ.digraph 121 ./datajourneys/tackling-class-imbalance_DN.digraph 944
.84477611940298507462 ./datajourneys/talkingdata-adtracking-eda_DJ.digraph 52 ./datajourneys/talkingdata-adtracking-eda_DN.digraph 335
.88212927756653992395 ./datajourneys/taming-the-bert-a-baseline_DJ.digraph 93 ./datajourneys/taming-the-bert-a-baseline_DN.digraph 789
.74149659863945578231 ./datajourneys/target-true-meaning-revealed_DJ.digraph 38 ./datajourneys/target-true-meaning-revealed_DN.digraph 147
.74339035769828926905 ./datajourneys/teach-lightgbm-to-sum-predictions_DJ.digraph 165 ./datajourneys/teach-lightgbm-to-sum-predictions_DN.digraph 643
.75666074600355239786 ./datajourneys/teaching-notebook-for-total-imaging-newbies_DJ.digraph 137 ./datajourneys/teaching-notebook-for-total-imaging-newbies_DN.digraph 563
.72633979475484606613 ./datajourneys/ted-data-analysis_DJ.digraph 240 ./datajourneys/ted-data-analysis_DN.digraph 877
.82614133833646028767 ./datajourneys/telecom-customer-churn-prediction_DJ.digraph 556 ./datajourneys/telecom-customer-churn-prediction_DN.digraph 3198
.92863762743280815569 ./datajourneys/tensorflow-2-0-bert-yes-no-answers_DJ.digraph 77 ./datajourneys/tensorflow-2-0-bert-yes-no-answers_DN.digraph 1079
.92857142857142857142 ./datajourneys/tensorflow-programming_DJ.digraph 11 ./datajourneys/tensorflow-programming_DN.digraph 154
.94392523364485981308 ./datajourneys/text-modelling-in-pytorch_DJ.digraph 96 ./datajourneys/text-modelling-in-pytorch_DN.digraph 1712
.85324553151458137347 ./datajourneys/tf2-0-qa-binary-classification-baseline_DJ.digraph 156 ./datajourneys/tf2-0-qa-binary-classification-baseline_DN.digraph 1063
.86142857142857142857 ./datajourneys/tfidf-doc2vec-pytorch_DJ.digraph 97 ./datajourneys/tfidf-doc2vec-pytorch_DN.digraph 700
.67409470752089136490 ./datajourneys/the-console-wars-ps-vs-xbox-vs-wii_DJ.digraph 117 ./datajourneys/the-console-wars-ps-vs-xbox-vs-wii_DN.digraph 359
.88122605363984674329 ./datajourneys/the-data-scientist-s-toolbox-tutorial-1_DJ.digraph 93 ./datajourneys/the-data-scientist-s-toolbox-tutorial-1_DN.digraph 783
.75319148936170212765 ./datajourneys/the-hitchhiker-s-guide-to-the-kaggle_DJ.digraph 522 ./datajourneys/the-hitchhiker-s-guide-to-the-kaggle_DN.digraph 2115
.92869269949066213921 ./datajourneys/the-importance-of-cleaning-text_DJ.digraph 42 ./datajourneys/the-importance-of-cleaning-text_DN.digraph 589
.80182529335071707953 ./datajourneys/the-most-in-demand-skills-for-data-scientists_DJ.digraph 152 ./datajourneys/the-most-in-demand-skills-for-data-scientists_DN.digraph 767
.96442687747035573122 ./datajourneys/the-perfect-score-script_DJ.digraph 9 ./datajourneys/the-perfect-score-script_DN.digraph 253
.69072164948453608247 ./datajourneys/the-secret-to-getting-the-second-date_DJ.digraph 150 ./datajourneys/the-secret-to-getting-the-second-date_DN.digraph 485
.78914728682170542635 ./datajourneys/time-series-analysis-and-forecasts-with-prophet_DJ.digraph 136 ./datajourneys/time-series-analysis-and-forecasts-with-prophet_DN.digraph 645
.75757575757575757575 ./datajourneys/time-series-analysis_DJ.digraph 112 ./datajourneys/time-series-analysis_DN.digraph 462
.76453201970443349753 ./datajourneys/time-series-basics-exploring-traditional-ts_DJ.digraph 239 ./datajourneys/time-series-basics-exploring-traditional-ts_DN.digraph 1015
.79605263157894736842 ./datajourneys/time-series-prediction-tutorial-with-eda_DJ.digraph 186 ./datajourneys/time-series-prediction-tutorial-with-eda_DN.digraph 912
.81978798586572438162 ./datajourneys/time-travel-eda_DJ.digraph 51 ./datajourneys/time-travel-eda_DN.digraph 283
.75346260387811634349 ./datajourneys/titanic-0-82-0-83_DJ.digraph 178 ./datajourneys/titanic-0-82-0-83_DN.digraph 722
.75325767129045817570 ./datajourneys/titanic-a-step-by-step-intro-to-machine-learning_DJ.digraph 587 ./datajourneys/titanic-a-step-by-step-intro-to-machine-learning_DN.digraph 2379
.77903543307086614173 ./datajourneys/titanic-advanced-feature-engineering-tutorial_DJ.digraph 449 ./datajourneys/titanic-advanced-feature-engineering-tutorial_DN.digraph 2032
.84693877551020408163 ./datajourneys/titanic-best-working-classifier_DJ.digraph 90 ./datajourneys/titanic-best-working-classifier_DN.digraph 588
.65789473684210526315 ./datajourneys/titanic-classification-regression_DJ.digraph 117 ./datajourneys/titanic-classification-regression_DN.digraph 342
.72382198952879581151 ./datajourneys/titanic-data-science-solutions_DJ.digraph 211 ./datajourneys/titanic-data-science-solutions_DN.digraph 764
.67322497861420017108 ./datajourneys/titanic-guide-with-sklearn-and-eda_DJ.digraph 382 ./datajourneys/titanic-guide-with-sklearn-and-eda_DN.digraph 1169
.69354838709677419354 ./datajourneys/titanic-lightgbm_DJ.digraph 57 ./datajourneys/titanic-lightgbm_DN.digraph 186
.81220657276995305164 ./datajourneys/titanic-random-forest-82-78_DJ.digraph 120 ./datajourneys/titanic-random-forest-82-78_DN.digraph 639
.74871794871794871794 ./datajourneys/titanic-study3_DJ.digraph 49 ./datajourneys/titanic-study3_DN.digraph 195
.68024596464258262874 ./datajourneys/titanic-survival-prediction-end-to-end-ml-pipeline_DJ.digraph 416 ./datajourneys/titanic-survival-prediction-end-to-end-ml-pipeline_DN.digraph 1301
.79627714581178903826 ./datajourneys/titanic-survival-predictions-beginner_DJ.digraph 197 ./datajourneys/titanic-survival-predictions-beginner_DN.digraph 967
.83860555196901226597 ./datajourneys/titanic-top-4-with-ensemble-modeling_DJ.digraph 250 ./datajourneys/titanic-top-4-with-ensemble-modeling_DN.digraph 1549
.76870748299319727891 ./datajourneys/titanic-tutorial_DJ.digraph 34 ./datajourneys/titanic-tutorial_DN.digraph 147
.84006054490413723511 ./datajourneys/tmdb-prediction_DJ.digraph 317 ./datajourneys/tmdb-prediction_DN.digraph 1982
.84751958224543080939 ./datajourneys/top-10-0-10943-stacking-mice-and-brutal-force_DJ.digraph 292 ./datajourneys/top-10-0-10943-stacking-mice-and-brutal-force_DN.digraph 1915
.82668187001140250855 ./datajourneys/top-3-nlp-libraries-tutorial-nltk-spacy-gensim_DJ.digraph 152 ./datajourneys/top-3-nlp-libraries-tutorial-nltk-spacy-gensim_DN.digraph 877
.77942735949098621420 ./datajourneys/top-5-deep-learning-frameworks-tutorial_DJ.digraph 208 ./datajourneys/top-5-deep-learning-frameworks-tutorial_DN.digraph 943
.93425925925925925925 ./datajourneys/top-6-roosevelt-national-forest-competition_DJ.digraph 71 ./datajourneys/top-6-roosevelt-national-forest-competition_DN.digraph 1080
.78761061946902654867 ./datajourneys/topic-1-exploratory-data-analysis-with-pandas_DJ.digraph 48 ./datajourneys/topic-1-exploratory-data-analysis-with-pandas_DN.digraph 226
.87762237762237762237 ./datajourneys/topic-2-part-2-seaborn-and-plotly_DJ.digraph 35 ./datajourneys/topic-2-part-2-seaborn-and-plotly_DN.digraph 286
.81556195965417867435 ./datajourneys/topic-2-visual-data-analysis-in-python_DJ.digraph 64 ./datajourneys/topic-2-visual-data-analysis-in-python_DN.digraph 347
.75559701492537313432 ./datajourneys/topic-3-decision-trees-and-knn_DJ.digraph 262 ./datajourneys/topic-3-decision-trees-and-knn_DN.digraph 1072
.90579710144927536231 ./datajourneys/topic-5-ensembles-part-1-bagging_DJ.digraph 13 ./datajourneys/topic-5-ensembles-part-1-bagging_DN.digraph 138
.76233183856502242152 ./datajourneys/topic-6-feature-engineering-and-feature-selection_DJ.digraph 159 ./datajourneys/topic-6-feature-engineering-and-feature-selection_DN.digraph 669
.69044740024183796856 ./datajourneys/topic-7-unsupervised-learning-pca-and-clustering_DJ.digraph 256 ./datajourneys/topic-7-unsupervised-learning-pca-and-clustering_DN.digraph 827
.88064192577733199598 ./datajourneys/topic-9-part-1-time-series-analysis-in-python_DJ.digraph 238 ./datajourneys/topic-9-part-1-time-series-analysis-in-python_DN.digraph 1994
.74691358024691358024 ./datajourneys/towards-de-anonymizing-the-data-some-insights_DJ.digraph 41 ./datajourneys/towards-de-anonymizing-the-data-some-insights_DN.digraph 162
.84014002333722287047 ./datajourneys/toxic-bert-plain-vanila_DJ.digraph 137 ./datajourneys/toxic-bert-plain-vanila_DN.digraph 857
.64367816091954022988 ./datajourneys/trackml-problem-explanation-and-data-exploration_DJ.digraph 155 ./datajourneys/trackml-problem-explanation-and-data-exploration_DN.digraph 435
.77726001863932898415 ./datajourneys/training-mask-r-cnn-to-be-a-fashionista-lb-0-07_DJ.digraph 239 ./datajourneys/training-mask-r-cnn-to-be-a-fashionista-lb-0-07_DN.digraph 1073
.86153846153846153846 ./datajourneys/transfer-learning-with-vgg-16-cnn-aug-lb-0-1712_DJ.digraph 99 ./datajourneys/transfer-learning-with-vgg-16-cnn-aug-lb-0-1712_DN.digraph 715
.69047619047619047619 ./datajourneys/transfer-learning_DJ.digraph 39 ./datajourneys/transfer-learning_DN.digraph 126
.84444444444444444444 ./datajourneys/tutorial-pca-intuition-and-image-completion_DJ.digraph 49 ./datajourneys/tutorial-pca-intuition-and-image-completion_DN.digraph 315
.61607142857142857142 ./datajourneys/two-sigma-news-official-getting-started-kernel_DJ.digraph 43 ./datajourneys/two-sigma-news-official-getting-started-kernel_DN.digraph 112
.81567328918322295805 ./datajourneys/two-sigma-renthop-eda_DJ.digraph 167 ./datajourneys/two-sigma-renthop-eda_DN.digraph 906
.72440944881889763779 ./datajourneys/two-sigma-time-travel-eda_DJ.digraph 70 ./datajourneys/two-sigma-time-travel-eda_DN.digraph 254
.80806675938803894297 ./datajourneys/u-net-dropout-augmentation-stratification_DJ.digraph 276 ./datajourneys/u-net-dropout-augmentation-stratification_DN.digraph 1438
.86344908769864626250 ./datajourneys/u-net-model-with-submission_DJ.digraph 232 ./datajourneys/u-net-model-with-submission_DN.digraph 1699
.88127584170112226816 ./datajourneys/u-net-with-simple-resnet-blocks-v2-new-loss_DJ.digraph 201 ./datajourneys/u-net-with-simple-resnet-blocks-v2-new-loss_DN.digraph 1693
.90524193548387096774 ./datajourneys/ultra-fast-distance-matrix-computation_DJ.digraph 47 ./datajourneys/ultra-fast-distance-matrix-computation_DN.digraph 496
.89175257731958762886 ./datajourneys/ultra-fast-qwk-calc-method_DJ.digraph 21 ./datajourneys/ultra-fast-qwk-calc-method_DN.digraph 194
.68226600985221674876 ./datajourneys/umida-airbnb_DJ.digraph 129 ./datajourneys/umida-airbnb_DN.digraph 406
.77001703577512776831 ./datajourneys/uncover-target-correlations-with-bernoulli-mixture_DJ.digraph 270 ./datajourneys/uncover-target-correlations-with-bernoulli-mixture_DN.digraph 1174
.73275862068965517241 ./datajourneys/underfitting-and-overfitting_DJ.digraph 31 ./datajourneys/underfitting-and-overfitting_DN.digraph 116
.87721369539551357733 ./datajourneys/understanding-clouds-eda_DJ.digraph 208 ./datajourneys/understanding-clouds-eda_DN.digraph 1694
.91640866873065015479 ./datajourneys/understanding-the-problem-and-some-sample-paths_DJ.digraph 54 ./datajourneys/understanding-the-problem-and-some-sample-paths_DN.digraph 646
.94698795180722891566 ./datajourneys/unet-pytorch-inference-kernel_DJ.digraph 22 ./datajourneys/unet-pytorch-inference-kernel_DN.digraph 415
.98529411764705882352 ./datajourneys/unet-starter-kernel-pytorch-lb-0-88_DJ.digraph 17 ./datajourneys/unet-starter-kernel-pytorch-lb-0-88_DN.digraph 1156
.78670360110803324099 ./datajourneys/unet-with-depth_DJ.digraph 308 ./datajourneys/unet-with-depth_DN.digraph 1444
.83838383838383838383 ./datajourneys/unet-with-efficientnet-encoder-in-keras_DJ.digraph 384 ./datajourneys/unet-with-efficientnet-encoder-in-keras_DN.digraph 2376
.98313554028732042473 ./datajourneys/unet-with-resnet34-encoder-pytorch_DJ.digraph 27 ./datajourneys/unet-with-resnet34-encoder-pytorch_DN.digraph 1601
.92634854771784232365 ./datajourneys/unet34-dice-0-87_DJ.digraph 71 ./datajourneys/unet34-dice-0-87_DN.digraph 964
.88365019011406844106 ./datajourneys/unintended-eda-with-tutorial-notes_DJ.digraph 153 ./datajourneys/unintended-eda-with-tutorial-notes_DN.digraph 1315
.92176870748299319727 ./datajourneys/unrolling-of-helices-outliers-removal_DJ.digraph 69 ./datajourneys/unrolling-of-helices-outliers-removal_DN.digraph 882
.77912794853466761972 ./datajourneys/unsupervised-anomaly-detection_DJ.digraph 309 ./datajourneys/unsupervised-anomaly-detection_DN.digraph 1399
.58563535911602209944 ./datajourneys/upura-kaggle-tutorial-01-first-submission_DJ.digraph 75 ./datajourneys/upura-kaggle-tutorial-01-first-submission_DN.digraph 181
.92054263565891472868 ./datajourneys/use-classifier-with-tf2-0-gradient-tape_DJ.digraph 82 ./datajourneys/use-classifier-with-tf2-0-gradient-tape_DN.digraph 1032
.72641509433962264150 ./datajourneys/user-data-exploration_DJ.digraph 116 ./datajourneys/user-data-exploration_DN.digraph 424
.93992490613266583229 ./datajourneys/using-a-baseline_DJ.digraph 48 ./datajourneys/using-a-baseline_DN.digraph 799
.81118881118881118881 ./datajourneys/using-categorical-data-with-one-hot-encoding_DJ.digraph 27 ./datajourneys/using-categorical-data-with-one-hot-encoding_DN.digraph 143
.87205387205387205387 ./datajourneys/using-meta-features-to-improve-model_DJ.digraph 304 ./datajourneys/using-meta-features-to-improve-model_DN.digraph 2376
.50447761194029850746 ./datajourneys/very-simple-pytorch-training-0-59_DJ.digraph 166 ./datajourneys/very-simple-pytorch-training-0-59_DN.digraph 335
.89219330855018587360 ./datajourneys/visualization-bokeh-tutorial-part-1_DJ.digraph 29 ./datajourneys/visualization-bokeh-tutorial-part-1_DN.digraph 269
.70329670329670329670 ./datajourneys/visualizing-pok-mon-stats-with-seaborn_DJ.digraph 27 ./datajourneys/visualizing-pok-mon-stats-with-seaborn_DN.digraph 91
.72055888223552894211 ./datajourneys/want-to-eat-at-bangalore-plz-visit-bangalore-p_DJ.digraph 140 ./datajourneys/want-to-eat-at-bangalore-plz-visit-bangalore-p_DN.digraph 501
.70046082949308755760 ./datajourneys/way-to-google-get-a-job-in-goggle-word-cloud_DJ.digraph 260 ./datajourneys/way-to-google-get-a-job-in-goggle-word-cloud_DN.digraph 868
.81196581196581196581 ./datajourneys/web-scraping-by-python-and-beautifulsoup_DJ.digraph 44 ./datajourneys/web-scraping-by-python-and-beautifulsoup_DN.digraph 234
.78118161925601750547 ./datajourneys/welcome-to-deep-learning-cnn-99_DJ.digraph 100 ./datajourneys/welcome-to-deep-learning-cnn-99_DN.digraph 457
.69230769230769230769 ./datajourneys/what-are-lung-opacities_DJ.digraph 208 ./datajourneys/what-are-lung-opacities_DN.digraph 676
.82018927444794952681 ./datajourneys/what-causes-heart-disease-explaining-the-model_DJ.digraph 114 ./datajourneys/what-causes-heart-disease-explaining-the-model_DN.digraph 634
.88010899182561307901 ./datajourneys/what-s-your-cv-method_DJ.digraph 88 ./datajourneys/what-s-your-cv-method_DN.digraph 734
.82412698412698412698 ./datajourneys/where-do-people-learn-ml-ds_DJ.digraph 277 ./datajourneys/where-do-people-learn-ml-ds_DN.digraph 1575
.88130563798219584569 ./datajourneys/where-do-the-robots-drive_DJ.digraph 200 ./datajourneys/where-do-the-robots-drive_DN.digraph 1685
.67241379310344827586 ./datajourneys/where-is-my-output-file_DJ.digraph 19 ./datajourneys/where-is-my-output-file_DN.digraph 58
.87735849056603773584 ./datajourneys/who-not-to-fly-with_DJ.digraph 130 ./datajourneys/who-not-to-fly-with_DN.digraph 1060
.80838323353293413173 ./datajourneys/why-gun-violance-increase-in-texas_DJ.digraph 96 ./datajourneys/why-gun-violance-increase-in-texas_DN.digraph 501
.79062500000000000000 ./datajourneys/why-not-logistic-regression_DJ.digraph 67 ./datajourneys/why-not-logistic-regression_DN.digraph 320
.81659388646288209606 ./datajourneys/why-your-model-is-overfitting-not-making-progress_DJ.digraph 252 ./datajourneys/why-your-model-is-overfitting-not-making-progress_DN.digraph 1374
.71810089020771513353 ./datajourneys/wikipedia-traffic-data-exploration_DJ.digraph 190 ./datajourneys/wikipedia-traffic-data-exploration_DN.digraph 674
.89349112426035502958 ./datajourneys/winning-solutions-of-kaggle-competitions_DJ.digraph 36 ./datajourneys/winning-solutions-of-kaggle-competitions_DN.digraph 338
.66887417218543046357 ./datajourneys/working-with-external-libraries_DJ.digraph 50 ./datajourneys/working-with-external-libraries_DN.digraph 151
.97701149425287356321 ./datajourneys/working-with-pyspark_DJ.digraph 6 ./datajourneys/working-with-pyspark_DN.digraph 261
.70186335403726708074 ./datajourneys/xgb-starter-in-python_DJ.digraph 144 ./datajourneys/xgb-starter-in-python_DN.digraph 483
.85856905158069883527 ./datajourneys/xgboost-cv-lb-284_DJ.digraph 85 ./datajourneys/xgboost-cv-lb-284_DN.digraph 601
.87451487710219922380 ./datajourneys/xgboost-feature-selection-dsbowl_DJ.digraph 97 ./datajourneys/xgboost-feature-selection-dsbowl_DN.digraph 773
.75675675675675675675 ./datajourneys/xgboost_DJ.digraph 27 ./datajourneys/xgboost_DN.digraph 111
.87341197822141560798 ./datajourneys/yet-another-deepfake-starter_DJ.digraph 279 ./datajourneys/yet-another-deepfake-starter_DN.digraph 2204
.96714848883048620236 ./datajourneys/yolo-v3-object-detection-in-tensorflow_DJ.digraph 50 ./datajourneys/yolo-v3-object-detection-in-tensorflow_DN.digraph 1522
.86058301647655259822 ./datajourneys/yolov3-rsna-starting-notebook_DJ.digraph 110 ./datajourneys/yolov3-rsna-starting-notebook_DN.digraph 789
.66666666666666666666 ./datajourneys/your-first-machine-learning-model_DJ.digraph 21 ./datajourneys/your-first-machine-learning-model_DN.digraph 63
.70145903479236812570 ./datajourneys/zomato-complete-eda-and-lstm-model_DJ.digraph 532 ./datajourneys/zomato-complete-eda-and-lstm-model_DN.digraph 1782