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Machine Learning Topics:

  • Dimensionality Reduction
    • PCA
    • t-SNE
  • Data Preprocessing
    • Standardization
    • Normalization
  • Text Preprocessing
    • tf-idf
    • Bag of Words
    • Word2Vec
  • Classification
    • Binary
    • Multi-Class
  • Regression
  • Algorithms
    • Linear Regression
    • Logistic Regression
    • K-Nearest Neighbors
    • Naive Bayes
    • Support Vector Machines
    • Tree Algorithms
      • Decision Trees
      • Random Forests
      • Gradient Boosting Decision Trees
  • Metrics
    • Confusion Matrix, TPR, FPR, FNR, TNR
    • Accuracy
    • Precision and Recall, F1 Score
    • Log Loss
    • AUC ROC Curves
    • MSE, MAE, MAD

Deep Learning Topics:

  • Tensorflow
    • Keras
  • Backpropagation
  • Gradient Descent
    • Batch Gradient Descent
    • SGD
  • Multi-Layered Perceptrons
  • ConvNets
  • Recurrent Neural Networks
    • LSTM
    • GRU
    • Biderectional RNN's
  • Hyperparameter Tuning
  • Optimization
    • adam
    • RMS Prop
    • adaGrad
    • RMS
  • Tranfer Learning