Feature Engineering for Machine Learning

  1. Categorical Feature Engineering
    1. Nominal Feature Encoding
      1. One-Hot Encoding
        1. Dummy Variable Encoding
          1. Effect Encoding
            1. Binary Encoding
              1. BaseN Encoding
                1. Feature Hashing
                2. Ordinal Feature Encoding
                  1. Label Encoding
                    1. Ordinal Encoding
                      1. Custom Ordinal Mapping
                        1. Rank-Based Encoding
                        2. High Cardinality Handling
                          1. Frequency-Based Encoding
                            1. Target-Based Encoding
                              1. Mean Target Encoding
                                1. Leave-One-Out Encoding
                                  1. Smoothed Target Encoding
                                    1. Bayesian Target Encoding
                                    2. Weight of Evidence Encoding
                                      1. Category Grouping
                                        1. Frequency Thresholding
                                          1. Similarity-Based Grouping
                                            1. Domain-Based Grouping
                                            2. Embedding Techniques
                                              1. Entity Embeddings
                                                1. Categorical Embeddings

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                                            5. Feature Scaling and Normalization

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                                            7. Feature Creation and Generation