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Introduction
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<span class="caption-text">
Machine Learning
</span>
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<li class="toctree-l1">
<a class="reference internal" href="1.1%20Introduction%20to%20Numpy.html">
Numpy
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Matplotlib: Visualization with Python
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Pandas
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K - Nearest Neighbour
</a>
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Linear Regression
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Multi Variable Regression
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MLE - Linear Regression
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Generalised linear model-Linear Regression
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Gradient Descent
</a>
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Logistic Regression
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Logistic Regression MLE & Implementation
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Decision Tree Algorithm
</a>
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Ensemble Learning
</a>
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Naive Bayes Algorithm
</a>
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<a class="reference internal" href="9.2%20Multinomial%20Naive%20Bayes.html">
Multinomial Naive Bayes
</a>
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<a class="reference internal" href="11.%20Imbalanced%20Dataset.html">
Imbalanced Dataset
</a>
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Principal Component Analysis
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About
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Acknowledgement
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<section id="introduction">
<h1>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline">¶</a></h1>
<p>This book contains reading materials and notes for students enrolled in Coding Blocks’s <a class="reference external" href="https://codingblocks.com/live-courses/master-data-science-with-python.html"><strong>Data Science Master Course</strong></a>. It is intended to be used as a supplementary material along with the course content. The book contains two sections that covers topics in Machine Learning and Deep Learning.</p>
<div class="admonition attention">
<p class="admonition-title">Attention</p>
<p>The topics covered and the contents provided in this book is in active development. If you find any mistakes or want to report missing topics or information. Refer to <a class="reference internal" href="About%20the%20Authors.html#contri"><span class="std std-ref">Contributing</span></a>.</p>
</div>
<p>The book is organised as follows.</p>
<div class="toctree-wrapper compound">
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Machine Learning</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="1.1%20Introduction%20to%20Numpy.html">Numpy</a></li>
<li class="toctree-l1"><a class="reference internal" href="1.2%20Introduction%20to%20Matplotlib.html">Matplotlib: Visualization with Python</a></li>
<li class="toctree-l1"><a class="reference internal" href="1.3%20Introduction%20to%20Pandas.html">Pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="2.%20KNN.html">K - Nearest Neighbour</a></li>
<li class="toctree-l1"><a class="reference internal" href="3.1%20Linear%20Regression.html">Linear Regression</a></li>
<li class="toctree-l1"><a class="reference internal" href="3.2%20Multi-Variate%20Regression.html">Multi Variable Regression</a></li>
<li class="toctree-l1"><a class="reference internal" href="3.3%20MLE%20-%20Linear%20Regression.html">MLE - Linear Regression</a></li>
<li class="toctree-l1"><a class="reference internal" href="3.4%20GLM%20-%20Linear%20Regression.html">Generalised linear model-Linear Regression</a></li>
<li class="toctree-l1"><a class="reference internal" href="4.%20Gradient%20Descent.html">Gradient Descent</a></li>
<li class="toctree-l1"><a class="reference internal" href="5.1%20%20Logistic%20Regression.html">Logistic Regression</a></li>
<li class="toctree-l1"><a class="reference internal" href="5.2%20Maximum%20Likelihood%20Estimation%20and%20Implementation.html">Logistic Regression MLE & Implementation</a></li>
<li class="toctree-l1"><a class="reference internal" href="6.%20Decision%20Trees.html">Decision Tree Algorithm</a></li>
<li class="toctree-l1"><a class="reference internal" href="7.%20Ensemble.html">Ensemble Learning</a></li>
<li class="toctree-l1"><a class="reference internal" href="9.1%20Naive%20Bayes.html">Naive Bayes Algorithm</a></li>
<li class="toctree-l1"><a class="reference internal" href="9.2%20Multinomial%20Naive%20Bayes.html">Multinomial Naive Bayes</a></li>
<li class="toctree-l1"><a class="reference internal" href="11.%20Imbalanced%20Dataset.html">Imbalanced Dataset</a></li>
<li class="toctree-l1"><a class="reference internal" href="12.%20PCA.html">Principal Component Analysis</a></li>
</ul>
</div>
<div class="toctree-wrapper compound">
<p aria-level="2" class="caption" role="heading"><span class="caption-text">About</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="About%20the%20Authors.html">Acknowledgement</a></li>
</ul>
</div>
<div class="admonition important">
<p class="admonition-title">Important</p>
<p>Section <strong>II</strong> of the book is currently in development phase. We are actively looking for interns to work on the same. If you wish to be a part, mail to <a class="reference external" href="mailto:manu.pillai%40codingblocks.com">manu<span>.</span>pillai<span>@</span>codingblocks<span>.</span>com</a></p>
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</section>
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