feature_engine and feature-engineering-tutorials
Feature-engine is a production-ready library providing automated feature engineering and selection transformers, while the rasgointelligence repository is an educational resource offering tutorials on those same concepts—making them complements where one teaches the theory and practices that the other implements.
About feature_engine
feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
Provides 70+ specialized transformers for imputation, encoding, discretization, outlier handling, variable transformation, and feature selection—each following sklearn's fit/transform API for seamless pipeline integration. Covers domain-specific engineering including datetime extraction, text feature generation, lag/window features for time series, and statistical selection methods like mutual information and PSI-based filtering. Handles end-to-end preprocessing workflows from missing data to feature creation and elimination across tabular, temporal, and text data.
About feature-engineering-tutorials
rasgointelligence/feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
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