NhanPhamThanh-IT/Feature-Engineering-Technique

📊 A practical toolkit for feature engineering and selection in Python. Explore EDA, handle missing data and outliers, scale/encode/transform features, discretize, and select via filter, wrapper, embedded, shuffling, and hybrid methods. Comes with datasets, clean notebooks, reusable utils, and clear visuals for fast, reproducible ML. Workflows.

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Jupyter Notebook

License

MIT

Category

feature-selection-frameworks

Last pushed

Aug 12, 2025

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Feature Selection Frameworks · 71 frameworks

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