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<!DOCTYPE html>
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<span id="id1"></span><h1>Tutorials<a class="headerlink" href="#tutorials" title="Permalink to this headline">¶</a></h1>
<p>We provide tutorials that illustrate the deployment of Snap ML for different use-cases</p>
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<li>Application of pai4sk-snapml (Logistic Regression) for credit card fraud detection <a class="reference internal" href="notebookcreditlocal.html#notebook-credit-local"><span class="std std-ref">[notebook]</span></a></li>
<li>Application of pai4sk-snapml (Multi-class Logistic Regression) classification on MNIST <a class="reference internal" href="notebookmnistlocal.html#notebook-mnist-local"><span class="std std-ref">[notebook]</span></a></li>
<li>Application of pai4sk-snapml (Random Forest) for signal detection on Susy <a class="reference internal" href="notebooksusylocal.html#notebook-susy-local"><span class="std std-ref">[notebook]</span></a></li>
<li>Application of pai4sk-snapml (Decision Tree) for prediction on HIGGS <a class="reference internal" href="notebookhiggslocal.html#notebook-higgs-local"><span class="std std-ref">[notebook]</span></a></li>
<li>Application of pai4sk-snapml (Logistic Regression) for click-through rate prediction at large scale <a class="reference internal" href="notebookcreditmpi.html#notebook-criteo-mpi"><span class="std std-ref">[notebook]</span></a></li>
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