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ml1/2_0_0_Intro_ML.ipynb

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+{
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+   "source": [
+    "![](files/images/EscUpmPolit_p.gif \"UPM\")"
+   ]
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+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Course Notes for Learning Intelligent Systems"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © 2016 Carlos A. Iglesias"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to Machine Learning\n",
+    "\n",
+    "This lecture provides a quick introduction to Machine Learning in Python using the Iris dataset as an example. \n",
+    "\n",
+    "In this session we will focus on applying multiclass classification algorithms."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Table of Contents"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. [Home](2_0_0_Intro_ML.ipynb)\n",
+    "    1. [Objectives](2_0_1_Objectives.ipynb)\n",
+    "1. [What is scikit-learn](2_1_Intro_ScikitLearn.ipynb)\n",
+    "1. [Reading Data](2_2_Read_Data.ipynb)\n",
+    "2. [Visualisation](2_3_0_Visualisation.ipynb)\n",
+    "    1. [Advanced visualisation](2_3_1_Advanced_Visualisation.ipynb)\n",
+    "3. [Preprocessing](2_4_Preprocessing.ipynb)\n",
+    "4. [Machine learning](2_5_0_Machine_Learning.ipynb)\n",
+    "   1. [kNN Model](2_5_1_kNN_Model.ipynb)\n",
+    "   1. [Decision Tree Learning Model](2_5_2_Decision_Tree_Model.ipynb)\n",
+    "4. [Model tuning](2_6_Model_Tuning.ipynb)\n",
+    "4. [Model persistence](2_7_Model_Persistence.ipynb)\n",
+    "4. [Conclusions](2_8_Conclusions.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## References"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* [Scikit-learn web page](http://scikit-learn.org/stable/)\n",
+    "* [Scikit-learn videos](http://blog.kaggle.com/author/kevin-markham/) and [notebooks](https://github.com/justmarkham/scikit-learn-videos) by Kevin Marham\n",
+    "* [Learning scikit-learn: Machine Learning in Python](http://proquest.safaribooksonline.com/book/programming/python/9781783281930/1dot-machine-learning-a-gentle-introduction/ch01s02_html), Raúl Garreta; Guillermo Moncecchi, Packt Publishing, 2013.\n",
+    "* [Python Machine Learning](http://proquest.safaribooksonline.com/book/programming/python/9781783555130), Sebastian Raschka, Packt Publishing, 2015."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Licence\n",
+    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "\n",
+    "© 2016 Carlos A. Iglesias, Universidad Politécnica de Madrid."
+   ]
+  }
+ ],
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