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Machine Learning (Model Performance Measures (Accuracy (RMSE (one RMSE…

- - - - one RMSE measure/score
      - Multiple RMSE measures/scores==Cross-Validation
  - - - AUC
- - - - Random sampling techniques
      - Data Splitting
  - - - missing data/featuures
      - Handling text and categorical attributes
      - Custom Transformers
      - Feature Scaling
- - - - PCA is used for dimensionality and noise reduction
      - K-means for feature learning by clustering the data
      - Auto-encoder for feature learning
    - - LFDA
      - Neural Networks
      - SVM
- - - - Gradient descent
        
        Batch GD (Full GD)
        
        Learning rate
        
        Mini-Batch GD
        
        Stochastic GD (random Instance GD/iteration)