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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>:
:ref:`SVM<svm_classification>`, :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_regression>`, :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="/dev/whats_new.html"><em>What's new</em> (Changelog)</a>
</li>
<li><strong>Scikit-learn 0.21 will drop support for Python 2.7 and Python 3.4.</strong>
</li>
<li><em>December 2018.</em> scikit-learn 0.20.2 is available for download (<a href="whats_new.html#version-0-20-2">Changelog</a>).
</li>
<li><em>November 2018.</em> scikit-learn 0.20.1 is available for download (<a href="whats_new.html#version-0-20-1">Changelog</a>).
</li>
<li><em>September 2018.</em> scikit-learn 0.20.0 is available for download (<a href="whats_new.html#version-0-20-0">Changelog</a>).
</li>
<li><em>July 2018.</em> scikit-learn 0.19.2 is available for download (<a href="whats_new.html#version-0-19">Changelog</a>).
</li>
<li><em>July 2017.</em> scikit-learn 0.19.0 is available for download (<a href="whats_new/v0.19.html#version-0-19">Changelog</a>).
</li>
<li><em>June 2017.</em> scikit-learn 0.18.2 is available for download (<a href="whats_new/v0.18.html#version-0-18-2">Changelog</a>).
</li>
</ul>
</div>
<!-- Community -->
<div class="span4">
<h4>Community</h4>
<ul>
<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="https://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="https://webchat.freenode.net/">freenode</a></li>
</ul>
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<!-- who using -->
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<h4>Who uses scikit-learn?</h4>
<div id="testimonials_carousel" class="carousel slide">
<div class="carousel-inner">
<div class="active item">
<img src="_images/inria.png" class="thumbnail" />
<p>
<em>"We use scikit-learn to support leading-edge basic research [...]"</em>
</p>
</div>
<div class="item">
<img src="_images/spotify.png" class="thumbnail" />
<p>
<em>"I think it's the most well-designed ML package I've seen so far."</em>
</p>
</div>
<div class="item">
<img src="_images/change-logo.png" class="thumbnail" />
<p>
<em>"scikit-learn's ease-of-use, performance and overall variety of algorithms implemented has proved invaluable [...]."</em>
</p>
</div>
<div class="item">
<img src="_images/evernote.png" class="thumbnail" />
<p>
<em>"For these tasks, we relied on the excellent scikit-learn package for Python."</em>
</p>
</div>
<div class="item">
<img src="_images/telecomparistech.jpg"
class="thumbnail" />
<p>
<em>"The great benefit of scikit-learn is its fast learning curve [...]"</em>
</p>
</div>
<div class="item">
<img src="_images/aweber.png" class="thumbnail" />
<p>
<em>"It allows us to do AWesome stuff we would not otherwise accomplish"</em>
</p>
</div>
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<img src="_images/yhat.png" class="thumbnail" />
<p>
<em>"scikit-learn makes doing advanced analysis in Python accessible to anyone."</em>
</p>
</div>
</div>
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<small class="example-link">
<a href="testimonials/testimonials.html">More testimonials</a>
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.. Define an order for the Table of Contents:
.. toctree::
:maxdepth: 2
:hidden:
preface
tutorial/index
user_guide
glossary
auto_examples/index
modules/classes
developers/index
|
