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    "[<img src=\"learningml.png\" alt=\"Learning ML\" width=\"400px\" />](http://learning.ml)\n",
    "\n",
    "\n",
    "# Learning ML\n",
    "\n",
    "A practical guide to understanding and applying machine learning algorithms in the quest to become a 🦄.\n",
    "\n",
    "by **[@blairhudson](http://twitter.com/blairhudson)**\n",
    "\n",
    "*This book is a work in progress. Follow [@Learning_ML](http://twitter.com/Learning_ML) for the latest updates! For detailed changes, see [commits](https://github.com/blairhudson/learningml/commits/master) on GitHub.*\n"
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    "## Table of Contents\n",
    "---\n",
    "\n",
    "### [1. Introduction](01.00-Introduction.ipynb)\n",
    "* [1.01 Help](01.01-Help.ipynb)\n",
    "* [1.02 Getting Started](01.02-Getting-Started.ipynb)\n",
    "\n",
    "### [2. Classification](02.00-Classification.ipynb)\n",
    "* [2.01 Dummy Classifiers](02.01-Dummy-Classifiers.ipynb)\n",
    "* [2.02 Naive Bayes](02.02-Naive-Bayes.ipynb)\n",
    "* [2.03 k-Nearest Neighbours](02.03-k-Nearest-Neighbours.ipynb)\n",
    "* [2.04 Decision Trees](02.04-Decision-Trees.ipynb)\n",
    "* Logistic Regression\n",
    "* Support Vector Machines\n",
    "* Elastic Net\n",
    "* Stochastic Gradient Descent\n",
    "* RuleFit\n",
    "* Ensembles\n",
    "* Neural Networks\n",
    "\n",
    "### [3. Regression](03.00-Regression.ipynb)\n",
    "* Linear Regression\n",
    "* Support Vector Regression\n",
    "\n",
    "### [4. Unsupervised](04.00-Unsupervised.ipynb)\n",
    "* k-means\n",
    "* t-SNE\n",
    "* Apriori\n",
    "* PCA\n",
    "* LDA\n",
    "\n",
    "### [5. Deep Learning](05.00-Deep-Learning.ipynb)\n",
    "\n",
    "* Keras and TensorFlow\n",
    "* Deep Neural Networks: Classification and Regression\n",
    "* DNN Problems and Architectures\n",
    "\n",
    "### [6. Big Data](06.00-Big-Data.ipynb)\n",
    "\n",
    "* Spark MLLib\n",
    "\n",
    "### [Appendix](99.00-Appendix.ipynb)\n",
    "* [a. Glossary](99.01-Glossary.ipynb)\n",
    "* [b. Acknowledgements](99.02-Acknowledgements.ipynb)\n",
    "* [c. Resources](99.03-Resources.ipynb)"
   ]
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    "---\n",
    "\n",
    "[learning.ml](http://learning.ml) / This work is licensed under [CC BY-NC-ND 3.0 AU](https://creativecommons.org/licenses/by-nc-nd/3.0/au/).\n",
    "\n",
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