sota-data-cleaning-feature-selection-eda

raphaelmansuy/machine-learning-feature-selection

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

0 stars
0 forks
6 views