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README.md

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- [2017-10-11 Mind Mastering Macines (M3), London](www.mcubed.london)
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([version of material taught](https://github.com/lgatto/IntroMachineLearningWithR/tree/20171011))
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### License
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This material is licensed under the
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[Creative Commons Attribution-ShareAlike 3.0 License](http://creativecommons.org/licenses/by-sa/3.0/). Some
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content is inspired by other sources though, see the *Credit* section
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in the material.

docs/an-introduction-to-machine-learning-with-r.html

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<meta name="author" content="Laurent Gatto">
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<meta name="date" content="2017-10-11">
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<meta name="date" content="2017-10-18">
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<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> Preface</a><ul>
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<li class="chapter" data-level="1.1" data-path="index.html"><a href="index.html#caution"><i class="fa fa-check"></i><b>1.1</b> Caution</a></li>
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<li class="chapter" data-level="1.2" data-path="index.html"><a href="index.html#installation"><i class="fa fa-check"></i><b>1.2</b> Installation</a></li>
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<li class="chapter" data-level="1.3" data-path="index.html"><a href="index.html#contact"><i class="fa fa-check"></i><b>1.3</b> Contact</a></li>
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<li class="chapter" data-level="1.3" data-path="index.html"><a href="index.html#license"><i class="fa fa-check"></i><b>1.3</b> License</a></li>
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<li class="chapter" data-level="1.4" data-path="index.html"><a href="index.html#contact"><i class="fa fa-check"></i><b>1.4</b> Contact</a></li>
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</ul></li>
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<li class="chapter" data-level="2" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html"><i class="fa fa-check"></i><b>2</b> An Introduction to Machine Learning with R</a><ul>
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<li class="chapter" data-level="2.1" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html#objectives-and-pre-requisites"><i class="fa fa-check"></i><b>2.1</b> Objectives and pre-requisites</a></li>

docs/example-datasets.html

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<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> Preface</a><ul>
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<li class="chapter" data-level="1.1" data-path="index.html"><a href="index.html#caution"><i class="fa fa-check"></i><b>1.1</b> Caution</a></li>
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<li class="chapter" data-level="1.2" data-path="index.html"><a href="index.html#installation"><i class="fa fa-check"></i><b>1.2</b> Installation</a></li>
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<li class="chapter" data-level="1.3" data-path="index.html"><a href="index.html#contact"><i class="fa fa-check"></i><b>1.3</b> Contact</a></li>
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<li class="chapter" data-level="1.3" data-path="index.html"><a href="index.html#license"><i class="fa fa-check"></i><b>1.3</b> License</a></li>
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<li class="chapter" data-level="1.4" data-path="index.html"><a href="index.html#contact"><i class="fa fa-check"></i><b>1.4</b> Contact</a></li>
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</ul></li>
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<li class="chapter" data-level="2" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html"><i class="fa fa-check"></i><b>2</b> An Introduction to Machine Learning with R</a><ul>
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<li class="chapter" data-level="2.1" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html#objectives-and-pre-requisites"><i class="fa fa-check"></i><b>2.1</b> Objectives and pre-requisites</a></li>

docs/final-notes.html

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<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> Preface</a><ul>
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<li class="chapter" data-level="1.1" data-path="index.html"><a href="index.html#caution"><i class="fa fa-check"></i><b>1.1</b> Caution</a></li>
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<li class="chapter" data-level="1.3" data-path="index.html"><a href="index.html#license"><i class="fa fa-check"></i><b>1.3</b> License</a></li>
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<li class="chapter" data-level="1.4" data-path="index.html"><a href="index.html#contact"><i class="fa fa-check"></i><b>1.4</b> Contact</a></li>
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<li class="chapter" data-level="2" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html"><i class="fa fa-check"></i><b>2</b> An Introduction to Machine Learning with R</a><ul>
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<li class="chapter" data-level="2.1" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html#objectives-and-pre-requisites"><i class="fa fa-check"></i><b>2.1</b> Objectives and pre-requisites</a></li>
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## [13] naivebayes_0.9.1 glmnet_2.0-13 foreach_1.4.3
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## [16] Matrix_1.2-11 caret_6.0-77 lattice_0.20-35
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## [19] C50_0.1.0-24 mlbench_2.1-1 scales_0.5.0
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## [22] ggplot2_2.2.1 BiocStyle_2.5.35 dplyr_0.7.4
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## [22] ggplot2_2.2.1 BiocStyle_2.5.41 dplyr_0.7.4
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##
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## [1] ddalpha_1.3.1 jsonlite_1.5 sfsmisc_1.1-1

docs/index.html

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<li class="chapter" data-level="1.4" data-path="index.html"><a href="index.html#contact"><i class="fa fa-check"></i><b>1.4</b> Contact</a></li>
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<li class="chapter" data-level="2" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html"><i class="fa fa-check"></i><b>2</b> An Introduction to Machine Learning with R</a><ul>
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<li class="chapter" data-level="2.1" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html#objectives-and-pre-requisites"><i class="fa fa-check"></i><b>2.1</b> Objectives and pre-requisites</a></li>
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<h1 class="title">An Introduction to Machine Learning with R</h1>
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<h4 class="author"><em>Laurent Gatto</em></h4>
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<h4 class="date"><em>2017-10-11</em></h4>
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<h4 class="date"><em>2017-10-18</em></h4>
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<p>The source code for this document is available on GitHub at <a href="https://github.com/lgatto/IntroMachineLearningWithR/" class="uri">https://github.com/lgatto/IntroMachineLearningWithR/</a></p>
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<p>A short URL for this book is <a href="http://bit.ly/intromlr" class="uri">http://bit.ly/intromlr</a></p>
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</div>
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<div id="license" class="section level2">
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<h2><span class="header-section-number">1.3</span> License</h2>
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<p>This material is licensed under the <a href="http://creativecommons.org/licenses/by-sa/3.0/">Creative Commons Attribution-ShareAlike 3.0 License</a>. Some content is inspired by other sources though, see the <em>Credit</em> section in the material.</p>
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<h2><span class="header-section-number">1.3</span> Contact</h2>
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<h2><span class="header-section-number">1.4</span> Contact</h2>
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<p>Feel free to contact me for any question or comments, preferably by <a href="https://github.com/lgatto/IntroMachineLearningWithR/issues">opening an issue</a> on GitHub.</p>
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<li class="chapter" data-level="2" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html"><i class="fa fa-check"></i><b>2</b> An Introduction to Machine Learning with R</a><ul>
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<li class="chapter" data-level="2.1" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html#objectives-and-pre-requisites"><i class="fa fa-check"></i><b>2.1</b> Objectives and pre-requisites</a></li>

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<li class="chapter" data-level="2" data-path="an-introduction-to-machine-learning-with-r.html"><a href="an-introduction-to-machine-learning-with-r.html"><i class="fa fa-check"></i><b>2</b> An Introduction to Machine Learning with R</a><ul>
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index.Rmd

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A short URL for this book is http://bit.ly/intromlr
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## License
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This material is licensed under the
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[Creative Commons Attribution-ShareAlike 3.0 License](http://creativecommons.org/licenses/by-sa/3.0/). Some
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content is inspired by other sources though, see the *Credit* section
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in the material.
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## Contact
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Feel free to contact me for any question or comments, preferably by

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