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scikit-learn
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<p>scikit-learn (formerly scikits.learn and also known as sklearn) is a <a href="/facts/Free_and_open-source/1cHtjLCB">free and open-source</a> <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> <a href="/facts/Library_(computing)/xRzL3P7q">library</a> for the <a href="/facts/Python_(programming_language)/YbuGqofa">Python</a> <a href="/facts/Programming_language/cWTYbgWa">programming language</a>. It features various <a href="/facts/Statistical_classification/jXXHRkXR">classification</a>, <a href="/facts/Regression_analysis/n6z5Tf7K">regression</a> and <a href="/facts/Cluster_analysis/HUeDnWPt">clustering</a> <a href="/facts/Algorithm/fnl5NmRt">algorithms</a> including <a href="/facts/Support_vector_machine/XobxpdBG">support-vector machines</a>, <a href="/facts/Random_forests/Ff1ppJEQ">random forests</a>, <a href="/facts/Gradient_boosting/rm99gPyH">gradient boosting</a>, <a href="/facts/K-means_clustering/vxIcqHwN"><i>k</i>-means</a> and <a href="/facts/DBSCAN/EKKoHRkM">DBSCAN</a>, and is designed to interoperate with the <a href="/facts/Python_(programming_language)/YbuGqofa">Python</a> numerical and scientific libraries <a href="/facts/NumPy/T6FnhWWD">NumPy</a> and <a href="/facts/SciPy/bNcMQGc0">SciPy</a>. Scikit-learn is a NumFOCUS fiscally sponsored project. </p>