{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "![](files/images/EscUpmPolit_p.gif \"UPM\")" ] }, { "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, © 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", "© Carlos A. Iglesias, Universidad Politécnica de Madrid." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.5" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false } }, "nbformat": 4, "nbformat_minor": 1 }