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sota-data-cleaning-feature-selection-eda

maintained by raphaelmansuy

star 0 account_tree 0 verified_user MIT License
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Overview Implementation Examples History

Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.

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Skill Details

GitHub Stars 0
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Created Jan 2026
Last Updated 5 months ago
tools tools data analysis

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