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feat: add imbalanced-learn to Machine Learning > General

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Co-Authored-By: Claude <noreply@anthropic.com>
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Vinta Chen
2026-10-16 17:25:19 +08:00
co-authored by Claude
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@@ -210,6 +210,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- General
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support.
- [imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn) - Resampling techniques for datasets with imbalanced classes, compatible with scikit-learn.
- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for causal and probabilistic reasoning with graphical models.
- [feature-engine](https://github.com/feature-engine/feature_engine) - sklearn compatible API with the widest toolset for feature engineering and selection.
- Gradient Boosting