Feature Engineering Overview Feature engineering creates and transforms features to improve model performance, interpretability, and generalization through domain knowledge and mathematical transformations. When to Use - When you need to improve model performance beyond using raw features - When dealing with categorical variables that need encoding for ML algorithms - When features have different scales and require normalization - When creating domain-specific features based on business knowledge - When handling skewed distributions or non-linear relationships - When preparing data for differ…