Scikit-learn: Difference between revisions

Revision as of 04:11, 4 January 2022

Revision as of 14:19, 14 January 2022

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It features various [[statistical classification|classification]], [[regression analysis|regression]] and [[Cluster analysis|clustering]] algorithms including [[support vector machine|support-vector machine]]s, [[random forests]], [[gradient boosting]], [[k-means clustering|''k''-means]] and [[DBSCAN]], and is designed to interoperate with the Python numerical and scientific libraries [[NumPy]] and [[SciPy]]. Scikit-learn is a [[NumFOCUS]] fiscally sponsored project.<ref>{{cite web|title=NumFOCUS Sponsored Projects|url=https://numfocus.org/sponsored-projects|publisher=NumFOCUS|access-date=2021-10-25}}</ref>

==Overview==