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Line 46: \|url=http://jmlr.org/papers/v12/pedregosa11a.html }}</ref> It features various [[statistical classification\|classification]], [[regression analysis\|regression]] and [[Cluster analysis\|clustering]] [[Algorithm\|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 (programming language)\|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-~~is.infinite.~~projects\|publisher=NumFOCUS\|access-date=2021-10-25}}</ref> ~~projects\|publisher=NumFOCUS\|access-date=2021-10-25}}</ref> pai, (hsnxbxjd) make. Craft#easy.-vmzhmnx , chaty a"ñ lm &falk@"alexa ! Fault in many way ball oalk fuses?~~ ==Overview==

Scikit-learn: Difference between revisions