Scikit-learn: Machine Learning in Python

@article{Pedregosa2011ScikitlearnML,
  title={Scikit-learn: Machine Learning in Python},
  author={Fabian Pedregosa and Ga{\"e}l Varoquaux and Alexandre Gramfort and Vincent Michel and Bertrand Thirion and Olivier Grisel and Mathieu Blondel and Gilles Louppe and Peter Prettenhofer and Ron Weiss and Ron J. Weiss and J. Vanderplas and Alexandre Passos and David Cournapeau and Matthieu Brucher and Matthieu Perrot and E. Duchesnay},
  journal={J. Mach. Learn. Res.},
  year={2011},
  volume={12},
  pages={2825-2830}
}
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic and commercial settings… 
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