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</style><section id="scikit-learn-tutorials">
<h1>scikit-learn Tutorials<a class="headerlink" href="#scikit-learn-tutorials" title="Permalink to this heading">¶</a></h1>
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<ul>
<li class="toctree-l1"><a class="reference internal" href="basic/tutorial.html">An introduction to machine learning with scikit-learn</a><ul>
<li class="toctree-l2"><a class="reference internal" href="basic/tutorial.html#machine-learning-the-problem-setting">Machine learning: the problem setting</a></li>
<li class="toctree-l2"><a class="reference internal" href="basic/tutorial.html#loading-an-example-dataset">Loading an example dataset</a></li>
<li class="toctree-l2"><a class="reference internal" href="basic/tutorial.html#learning-and-predicting">Learning and predicting</a></li>
<li class="toctree-l2"><a class="reference internal" href="basic/tutorial.html#conventions">Conventions</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="statistical_inference/index.html">A tutorial on statistical-learning for scientific data processing</a><ul>
<li class="toctree-l2"><a class="reference internal" href="statistical_inference/settings.html">Statistical learning: the setting and the estimator object in scikit-learn</a></li>
<li class="toctree-l2"><a class="reference internal" href="statistical_inference/supervised_learning.html">Supervised learning: predicting an output variable from high-dimensional observations</a></li>
<li class="toctree-l2"><a class="reference internal" href="statistical_inference/model_selection.html">Model selection: choosing estimators and their parameters</a></li>
<li class="toctree-l2"><a class="reference internal" href="statistical_inference/unsupervised_learning.html">Unsupervised learning: seeking representations of the data</a></li>
<li class="toctree-l2"><a class="reference internal" href="statistical_inference/putting_together.html">Putting it all together</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="text_analytics/working_with_text_data.html">Working With Text Data</a><ul>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#tutorial-setup">Tutorial setup</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#loading-the-20-newsgroups-dataset">Loading the 20 newsgroups dataset</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#extracting-features-from-text-files">Extracting features from text files</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#training-a-classifier">Training a classifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#building-a-pipeline">Building a pipeline</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#evaluation-of-the-performance-on-the-test-set">Evaluation of the performance on the test set</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#parameter-tuning-using-grid-search">Parameter tuning using grid search</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#exercise-1-language-identification">Exercise 1: Language identification</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#exercise-2-sentiment-analysis-on-movie-reviews">Exercise 2: Sentiment Analysis on movie reviews</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#exercise-3-cli-text-classification-utility">Exercise 3: CLI text classification utility</a></li>
<li class="toctree-l2"><a class="reference internal" href="text_analytics/working_with_text_data.html#where-to-from-here">Where to from here</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="machine_learning_map/index.html">Choosing the right estimator</a></li>
<li class="toctree-l1"><a class="reference internal" href="../presentations.html">External Resources, Videos and Talks</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../presentations.html#new-to-scientific-python">New to Scientific Python?</a></li>
<li class="toctree-l2"><a class="reference internal" href="../presentations.html#external-tutorials">External Tutorials</a></li>
<li class="toctree-l2"><a class="reference internal" href="../presentations.html#videos">Videos</a></li>
</ul>
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<p class="admonition-title">Note</p>
<p><strong>Doctest Mode</strong></p>
<p>The code-examples in the above tutorials are written in a
<em>python-console</em> format. If you wish to easily execute these examples
in <strong>IPython</strong>, use:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">%</span><span class="n">doctest_mode</span>
</pre></div>
</div>
<p>in the IPython-console. You can then simply copy and paste the examples
directly into IPython without having to worry about removing the <strong>>>></strong>
manually.</p>
</div>
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navBar.style.top = "0";
}
if (hashTargetOnTop()) {
hideNavBar()
}
var prevScrollpos = window.pageYOffset;
hideOnScroll = function(lastScrollTop) {
if (($window.width() < 768) && (navBarToggler.getAttribute("aria-expanded") === 'true')) {
return;
}
if (lastScrollTop > 2 && (prevScrollpos <= lastScrollTop) || hashTargetOnTop()){
hideNavBar()
} else {
showNavBar()
}
prevScrollpos = lastScrollTop;
};
/*** high performance scroll event listener***/
var raf = window.requestAnimationFrame ||
window.webkitRequestAnimationFrame ||
window.mozRequestAnimationFrame ||
window.msRequestAnimationFrame ||
window.oRequestAnimationFrame;
var lastScrollTop = $window.scrollTop();
if (raf) {
loop();
}
function loop() {
var scrollTop = $window.scrollTop();
if (lastScrollTop === scrollTop) {
raf(loop);
return;
} else {
lastScrollTop = scrollTop;
hideOnScroll(lastScrollTop);
raf(loop);
}
}
})();
});
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