scikit-learn
scikit-learn (formerly scikits.learn and also known as sklearn) is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, 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.
| Original author(s) | David Cournapeau |
|---|---|
| Initial release | June 2007 |
| Stable release | 1.3.2
/ 25 October 2023 |
| Repository | |
| Written in | Python, Cython, C and C++ |
| Operating system | Linux, macOS, Windows |
| Type | Library for machine learning |
| License | New BSD License |
| Website | scikit-learn |
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