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Python scripts with solutions for different Machine & Deep Learning tasks

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Demo_scripts
Demo_scripts
 
 
IG-dogs-vs-cats-resnet.ipynb
IG-dogs-vs-cats-resnet.ipynb
 
 
IG-dogs-vs-cats.ipynb
IG-dogs-vs-cats.ipynb
 
 
IG_ARIMA modeling.ipynb
IG_ARIMA modeling.ipynb
 
 
IG_Collaborative_filtering.ipynb
IG_Collaborative_filtering.ipynb
 
 
IG_Decision_trees.ipynb
IG_Decision_trees.ipynb
 
 
IG_Decision_trees_v2.ipynb
IG_Decision_trees_v2.ipynb
 
 
IG_EDA_outliers.ipynb
IG_EDA_outliers.ipynb
 
 
IG_Features_selection.ipynb
IG_Features_selection.ipynb
 
 
IG_GARCH_practice.ipynb
IG_GARCH_practice.ipynb
 
 
IG_Intro_to_NN_3_(hw).ipynb
IG_Intro_to_NN_3_(hw).ipynb
 
 
IG_Intro_to_NN_4_(HW)_work.ipynb
IG_Intro_to_NN_4_(HW)_work.ipynb
 
 
IG_Recommendations systems_content-based-final.ipynb
IG_Recommendations systems_content-based-final.ipynb
 
 
IG_SSA.ipynb
IG_SSA.ipynb
 
 
IG_Theme Modelling_final.ipynb
IG_Theme Modelling_final.ipynb
 
 
IG_Titanic_logistic_regression_data_quality.ipynb
IG_Titanic_logistic_regression_data_quality.ipynb
 
 
IG_accuracy_overfit_regularization.ipynb
IG_accuracy_overfit_regularization.ipynb
 
 
IG_clustering.ipynb
IG_clustering.ipynb
 
 
IG_ensemle.ipynb
IG_ensemle.ipynb
 
 
IG_improving_model.ipynb
IG_improving_model.ipynb
 
 
IG_logistic_regression_GD.ipynb
IG_logistic_regression_GD.ipynb
 
 
IG_markov_processes_.ipynb
IG_markov_processes_.ipynb
 
 
IG_resolved_task_logistic_regressions.ipynb
IG_resolved_task_logistic_regressions.ipynb
 
 
IG_segmentation.ipynb
IG_segmentation.ipynb
 
 
IG_smoothing_time_series.ipynb
IG_smoothing_time_series.ipynb
 
 
IG_transformation_to_stationary_time_series.ipynb
IG_transformation_to_stationary_time_series.ipynb
 
 
IG_work_with_variables.ipynb
IG_work_with_variables.ipynb
 
 
Igor_Grebeniuk.ipynb
Igor_Grebeniuk.ipynb
 
 
Igor_Grebeniuk_final.ipynb
Igor_Grebeniuk_final.ipynb
 
 
README.md
README.md
 
 

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Python scripts with solutions for different Machine & Deep Learning tasks

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svm neural-networks regression-models regression-analysis

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