.. 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>: :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>: :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>: :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>` .. raw:: html </small> </div> </blockquote> </div> <!-- row --> </div> <div class="row-fluid"> <!-- Dimension reduction --> <div class="span4 box"> <h2> :ref:`Dimensionality reduction<decompositions>` .. raw:: html </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>: :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>` .. raw:: html </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>: :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>` .. raw:: html </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>: :ref:`preprocessing<preprocessing>`, :ref:`feature extraction<feature_extraction>`. .. raw:: html <span class="example-links"> <small class="float-right example-links"> :ref:`Examples<general_examples>` .. raw:: html </small> </div> </blockquote> </div> <!-- row --> </div> </div> <!-- container --> <div class="container index-lower"> <div class="row-fluid"> <!-- News --> <div class="span4"> <h4>News</h4> <ul> <li><em>On-going development:</em> <a href="whats_new.html"><em>What's new</em> (Changelog)</a> </li> <li><em>November 2015.</em> scikit-learn 0.17.0 is available for download (<a href="whats_new.html">Changelog</a>). </li> <li><em>March 2015.</em> scikit-learn 0.16.0 is available for download (<a href="whats_new.html">Changelog</a>). </li> <li><em>July 2014.</em> scikit-learn 0.15.0 is available for download (<a href="whats_new.html">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. 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.. toctree:: :maxdepth: 2 :hidden: preface tutorial/index user_guide auto_examples/index modules/classes developers/index