scikit-learn: machine learning in Python

scikit-learn is a Python module integrating machine learning, data mining, and visualization with Big Data and scientific Python tools numpy and scipy.

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scikit-learn is a Python module integrating classic machine learning algorithms in the tightly-knit scientific Python world (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems, accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering.

It includes:

• Supervised learning: Support vector machines, linear models, naive Bayes, Gaussian processes...
• Unsupervised learning: Clustering, Gaussian mixture models, manifold learning, matrix factorization, covariance...
• and much more: Model selection, datasets, feature extraction

License: Open source, commercially usable: BSD license (3 clause)

Get more info and download at scikit-learn.org/stable/