home/categories/machine-learning/raphaelmansuy-machine-learning-feature-selection-github-skills-sota-data-cleaning-feature-selection-eda-skill-md
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sota-data-cleaning-feature-selection-eda
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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raphaelmansuy
更新於 12/26/2025
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quick start
Installation and usage
Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.
安裝
$ install --globalskills.sh
使用
安裝後，您可以透過在終端機執行以下指令來使用此技能：
skills use sota-data-cleaning-feature-selection-eda