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.. topic:: Easy-to-use and general-purpose machine learning in Python

    ``scikit-learn`` is a Python module integrating classic machine
    learning algorithms in the tightly-knit world of scientific Python
    packages (`numpy <http://numpy.scipy.org>`_, `scipy
    <http://www.scipy.org>`_, `matplotlib
    <http://matplotlib.sourceforge.net/>`_).
    It aims to provide simple and efficient solutions to learning
    problems that are accessible to everybody and reusable in various
    contexts: **machine-learning as a versatile tool for science and
    engineering**.


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  <table class="contentstable" style="width: 100% ; margin-top: -8px">
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      <p class="biglink"><a class="biglink" href="supervised_learning.html">
                Supervised learning</a><br/>
         <span class="linkdescr">
                <a href="modules/svm.html">Support vector machines</a>,
                <a href="modules/linear_model.html">linear models</a>,
                <a href="modules/naive_bayes.html">naives Bayes</a>,
                <a href="modules/gaussian_process.html">Gaussian process</a>...
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        Unsupervised learning</a><br/>
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                <a href="modules/clustering.html">Clustering</a>,
                <a href="modules/mixture.html">Gaussian mixture models</a>,
                <a href="modules/manifold.html">manifold learning</a>,
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        And much more</a><br/>
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                <a href="model_selection.html">Model selection</a>,
                <a href="datasets/index.html">datasets</a>,
                <a href="modules/feature_extraction.html">feature extraction...</a>
                <strong>See below</strong>.</span></p>
    </td></tr>
  </table>

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

.. include:: includes/big_toc_css.rst

Documentation for scikit-learn **version** |release|. For other versions and
printable format, see :ref:`documentation_resources`.

User Guide
==========

.. toctree::
   :maxdepth: 2

   user_guide.rst

Example Gallery
===============

.. toctree::
   :maxdepth: 2

   auto_examples/index


Development
===========
.. toctree::
   :maxdepth: 2

   developers/index
   developers/performance
   developers/utilities
   about