Feature Engineering for Machine Learning

  1. Feature Creation and Generation
    1. Mathematical Transformations
      1. Arithmetic Operations
        1. Addition and Subtraction
          1. Multiplication and Division
            1. Ratios and Proportions
            2. Polynomial Features
              1. Degree Selection
                1. Interaction Terms
                  1. Cross Products
                  2. Trigonometric Functions
                    1. Exponential Functions
                      1. Logarithmic Functions
                      2. Interaction Features
                        1. Two-Way Interactions
                          1. Multi-Way Interactions
                            1. Feature Crosses
                              1. Conditional Features
                              2. Aggregation Features
                                1. Groupby Operations
                                  1. Statistical Aggregations
                                    1. Count
                                      1. Sum
                                        1. Mean
                                          1. Median
                                            1. Standard Deviation
                                              1. Min and Max
                                                1. Percentiles
                                                2. Custom Aggregation Functions
                                                3. Domain-Specific Features
                                                  1. Business Logic Features
                                                    1. Industry-Specific Metrics
                                                      1. Expert Knowledge Integration
                                                        1. Rule-Based Features

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                                                      6. Categorical Feature Engineering

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                                                      8. Temporal Feature Engineering