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This documentation is for scikit-learn version 0.15.1Other versions

If you use the software, please consider citing scikit-learn.

External Resources, Videos and Talks

For written tutorials, see the Tutorial section of the documentation.

New to Scientific Python?

For those that are still new to the scientific Python ecosystem, we highly recommend the Python Scientific Lecture Notes. This will help you find your footing a bit and will definitely improve your scikit-learn experience. A basic understanding of NumPy arrays is recommended to make the most of scikit-learn.

External Tutorials

There are several online tutorials available which are geared toward specific subject areas:

Videos

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