scikit-learn is the reference library for everything that is not deep learning: regression, clustering, trees, preprocessing, evaluation.
From the README
- Python (>= |PythonMinVersion|)
- NumPy (>= |NumPyMinVersion|)
- SciPy (>= |SciPyMinVersion|)
- Narwhals (>= |NarwhalsMinVersion|)
- joblib (>= |JoblibMinVersion|)
- threadpoolctl (>= |ThreadpoolctlMinVersion|)
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimescikit-learn: machine learning in Python
scikit-learn has 66.7k stars on GitHub. It has been forked 27.2k times. scikit-learn is written mainly in Python. It has been in active development since 2010. scikit-learn is available under the BSD-3-Clause license. Its main topics are data-analysis, data-science, machine-learning, python.
Read the full guideWhat is scikit-learn?
scikit-learn: machine learning in Python
Is scikit-learn open source?
scikit-learn is an open-source project. It is released under the BSD-3-Clause license.
Is scikit-learn free?
Yes. scikit-learn is free and open source — you can use, modify and self-host it.
What license does scikit-learn use?
scikit-learn is available under the BSD-3-Clause license.
What language is scikit-learn written in?
scikit-learn is written mainly in Python.
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