Several methods are described for advanced feature engineering including:
- Resampling Imbalanced Data using SMOTE
- Creating New Features with Deep Feature Synthesis
- Handling Missing Values with the Iterative Imputer and CatBoost
- Outlier Detection with IsolationForest
