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        <!-- Classification -->
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    :ref:`Classification <supervised-learning>`

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        </h2>
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        <p>Identifying to which category an object belongs to.</p>
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        <strong>Applications</strong>: Spam detection, Image recognition.</br>
        <strong>Algorithms</strong>:&nbsp;

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

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    :ref:`Examples<general_examples>`

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    :ref:`Regression <supervised-learning>`

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        </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>`, ...

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    :ref:`Examples<general_examples>`

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        <h2>

    :ref:`Clustering<clustering>`

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        </h2>
        <blockquote>
        <p>Automatic grouping of similar objects into sets.</p>
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        <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>`, ...

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    :ref:`Examples<cluster_examples>`

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    :ref:`Dimensionality reduction<decompositions>`

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        <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>`.

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    :ref:`Examples<decomposition_examples>`

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    :ref:`Model selection<model_selection>`

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        </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>`.

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

    :ref:`Examples<general_examples>`

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    :ref:`Preprocessing<preprocessing>`

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        <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>`.

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    :ref:`Examples<general_examples>`

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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