home/categories/machine-learning/raphaelmansuy-machine-learning-feature-selection-github-skills-sota-data-cleaning-feature-selection-eda-skill-md
machine-learningdata-ai
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
Updated 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.
Installation
$ install --globalskills.sh
Usage
Once installed, you can use this skill by running the following command in your terminal:
skills use sota-data-cleaning-feature-selection-eda