GitHub - scikit-learn-contrib/sklearn-pandas: Pandas integration with sklearnYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - scikit-learn-contrib/hdbscan: A high performance implementation of HDBSCAN clustering.
HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. In practice this means that HDBSCAN returns a good clustering s
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category_encoders/category_encoders/hashing.py at master · scikit-learn-contrib/category_encoders
scikit-learn-contrib
GitHub - scikit-learn-contrib/category_encoders: A library of sklearn compatible categorical variable encoders
GitHub - scikit-learn-contrib/polylearn: A library for factorization machines and polynomial networks for classification and regression in Python.
GitHub - scikit-learn-contrib/lightning: Large-scale linear classification, regression and ranking in Python
GitHub - scikit-learn-contrib/scikit-learn-contrib: scikit-learn compatible projects
https://github.com/scikit-learn-contrib/imbalanced-learn/star
GitHub - scikit-learn-contrib/forest-confidence-interval: Confidence intervals for scikit-learn forest algorithms
GitHub - scikit-learn-contrib/imbalanced-learn: A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
scikit-learn-contrib/README.md at master · scikit-learn-contrib/scikit-learn-contrib