mirror of
https://github.com/gsi-upm/sitc
synced 2024-11-16 19:42:28 +00:00
127 lines
3.4 KiB
Plaintext
127 lines
3.4 KiB
Plaintext
{
|
|
"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",
|
|
"* [Python Machine Learning](https://learning.oreilly.com/library/view/python-machine-learning/9781789955750/), Sebastian Raschka, Packt Publishing, 2019."
|
|
]
|
|
},
|
|
{
|
|
"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 (ipykernel)",
|
|
"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": "3.8.12"
|
|
},
|
|
"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
|
|
}
|