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scikit-learn 0.18-5
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.. only:: html

    .. raw:: html

        <!-- Block section -->
        <div class="container-index">
        <div class="container index-upper">
        <div class="row-fluid">

        <!-- Classification -->
        <div class="span4 box">
        <h2 >

    :ref:`Classification <supervised-learning>`

    .. raw:: html

        </h2>
        <blockquote>
        <p>Identifying to which category an object belongs to.</p>
        <div class="box-links">
        <strong>Applications</strong>: Spam detection, Image recognition.</br>
        <strong>Algorithms</strong>:&nbsp;

    :ref:`SVM<svm>`, :ref:`nearest neighbors<classification>`, :ref:`random forest<forest>`, ...

    .. raw:: html

        <small class="float-right box-example-links">

    :ref:`Examples<general_examples>`

    .. raw:: html

        </small>
        </div>
        </blockquote>
        </div>

        <!-- Regression -->
        <div class="span4 box">
        <h2>

    :ref:`Regression <supervised-learning>`

    .. raw:: html

        </h2>
        <blockquote>
        <p>Predicting a continuous-valued attribute associated with an object.</p>
        <div class="box-links">
        <strong>Applications</strong>: Drug response, Stock prices.</br>
        <strong>Algorithms</strong>:&nbsp;

    :ref:`SVR<svm>`, :ref:`ridge regression<ridge_regression>`, :ref:`Lasso<lasso>`, ...

    .. raw:: html

        <small class="float-right box-example-links">

    :ref:`Examples<general_examples>`

    .. raw:: html

        </small>
        </div>
        </blockquote>
        </div>

        <!-- Clustering -->
        <div class="span4 box">
        <h2>

    :ref:`Clustering<clustering>`

    .. raw:: html

        </h2>
        <blockquote>
        <p>Automatic grouping of similar objects into sets.</p>
        <div class="box-links">
        <strong>Applications</strong>: Customer segmentation, Grouping experiment outcomes</br>
        <strong>Algorithms</strong>:&nbsp;

    :ref:`k-Means<k_means>`, :ref:`spectral clustering<spectral_clustering>`, :ref:`mean-shift<mean_shift>`, ...

    .. raw:: html

        <small class="float-right example-links">

    :ref:`Examples<cluster_examples>`

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        </small>
        </div>
        </blockquote>
        </div>

        <!-- row -->
        </div>
        <div class="row-fluid">

        <!-- Dimension reduction -->
        <div class="span4 box">
        <h2>

    :ref:`Dimensionality reduction<decompositions>`

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        </h2>
        <blockquote>
        <p>Reducing the number of random variables to consider.</p>
        <div class="box-links">
        <strong>Applications</strong>: Visualization, Increased efficiency</br>
        <strong>Algorithms</strong>:&nbsp;

    :ref:`PCA<PCA>`, :ref:`feature selection<feature_selection>`, :ref:`non-negative matrix factorization<NMF>`.

    .. raw:: html

        <small class="float-right example-links">

    :ref:`Examples<decomposition_examples>`

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        </small>
        </div>
        </blockquote>
        </div>

        <!-- Model selection -->
        <div class="span4 box">
        <h2>

    :ref:`Model selection<model_selection>`

    .. raw:: html

        </h2>
        <blockquote>
        <p>Comparing, validating and choosing parameters and models.</p>
        <div class="box-links">
        <strong>Goal</strong>: Improved accuracy via parameter tuning</br>
        <strong>Modules</strong>:&nbsp;

    :ref:`grid search<grid_search>`, :ref:`cross validation<cross_validation>`, :ref:`metrics<model_evaluation>`.

    .. raw:: html

        <small class="float-right example-links">

    :ref:`Examples<general_examples>`

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        </small>
        </div>
        </blockquote>
        </div>


        <!-- Preprocessing -->
        <div class="span4 box">
        <h2>

    :ref:`Preprocessing<preprocessing>`

    .. raw:: html

        </h2>
        <blockquote>
        <p>Feature extraction and normalization.</p>
        <div class="box-links">
        <strong>Application</strong>: Transforming input data such as text for use with machine learning algorithms.</br>
        <strong>Modules</strong>:&nbsp;

    :ref:`preprocessing<preprocessing>`, :ref:`feature extraction<feature_extraction>`.

    .. raw:: html

        <span class="example-links">
        <small class="float-right example-links">

    :ref:`Examples<general_examples>`

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        </small>
        </div>
        </blockquote>
        </div>

        <!-- row -->
        </div>
        </div> <!-- container -->


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                    <h4>News</h4>
                    <ul>
                    <li><em>On-going development:</em>
                    <a href="/dev/whats_new.html"><em>What's new</em> (Changelog)</a>
                    </li>
                    <li><em>September 2016.</em> scikit-learn 0.18.0 is available for download (<a href="whats_new.html#version-0-18">Changelog</a>).
                    </li>
                    <li><em>November 2015.</em> scikit-learn 0.17.0 is available for download (<a href="whats_new.html#version-0-17">Changelog</a>).
                    </li>
                    <li><em>March 2015.</em> scikit-learn 0.16.0 is available for download (<a href="whats_new.html#version-0-16">Changelog</a>).
                    </li>
                    <li><em>July 2014.</em> scikit-learn 0.15.0 is available for download (<a href="whats_new.html#version-0-15">Changelog</a>).
                    </li>
                    <li><em>July 14-20th, 2014: international sprint.</em>
                    During this week-long sprint, we gathered 18 of the core
                    contributors in Paris.
                    We want to thank our sponsors:
                    <a href="http://www.campus-paris-saclay.fr/en/Idex-Paris-Saclay/Les-Lidex/Paris-Saclay-Center-for-Data-Science">
                    Paris-Saclay Center for Data Science</a>
                    & <a href="https://digicosme.lri.fr">Digicosme</a> and our
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                    <a href="http://www.criteo.com/">Criteo</a>,
                    <a href="http://www.inria.fr/">Inria</a>,
                    and <a href="http://www.tinyclues.com/">tinyclues</a>.
                    </li>
                    <li><em>August 2013.</em> scikit-learn 0.14 is available for download (<a href="whats_new.html#version-0-14">Changelog</a>).
                    </li>
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                    <li><em>About us</em> See <a href="about.html#people">authors</a> and <a href="developers/contributing.html">contributing</a></li>
                    <li><em>More Machine Learning</em> Find <a href="related_projects.html">related projects</a></li>
                    <li><em>Questions?</em> See <a href="faq.html">FAQ</a> and <a href="http://stackoverflow.com/questions/tagged/scikit-learn">stackoverflow</a></li>
                    <li><em>Mailing list:</em> <a href="https://mail.python.org/mailman/listinfo/scikit-learn">scikit-learn@python.org</a></li>
                    <li><em>IRC:</em> #scikit-learn @ <a href="http://webchat.freenode.net/">freenode</a></li>
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.. Define an order for the Table of Contents:

.. toctree::
    :maxdepth: 2
    :hidden:

    preface
    tutorial/index
    user_guide
    auto_examples/index
    modules/classes
    developers/index