mirror of
https://github.com/gsi-upm/sitc
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127 lines
3.4 KiB
Plaintext
127 lines
3.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![](files/images/EscUpmPolit_p.gif \"UPM\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Course Notes for Learning Intelligent Systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Introduction to Machine Learning\n",
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"\n",
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"This lecture provides a quick introduction to Machine Learning in Python using the Iris dataset as an example. \n",
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"\n",
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"In this session we will focus on applying multiclass classification algorithms."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Table of Contents"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1. [Home](2_0_0_Intro_ML.ipynb)\n",
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" 1. [Objectives](2_0_1_Objectives.ipynb)\n",
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"1. [What is scikit-learn](2_1_Intro_ScikitLearn.ipynb)\n",
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"1. [Reading Data](2_2_Read_Data.ipynb)\n",
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"2. [Visualisation](2_3_0_Visualisation.ipynb)\n",
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" 1. [Advanced visualisation](2_3_1_Advanced_Visualisation.ipynb)\n",
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"3. [Preprocessing](2_4_Preprocessing.ipynb)\n",
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"4. [Machine learning](2_5_0_Machine_Learning.ipynb)\n",
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" 1. [kNN Model](2_5_1_kNN_Model.ipynb)\n",
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" 1. [Decision Tree Learning Model](2_5_2_Decision_Tree_Model.ipynb)\n",
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"4. [Model tuning](2_6_Model_Tuning.ipynb)\n",
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"4. [Model persistence](2_7_Model_Persistence.ipynb)\n",
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"4. [Conclusions](2_8_Conclusions.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## References"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"* [Scikit-learn web page](http://scikit-learn.org/stable/)\n",
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"* [Scikit-learn videos](http://blog.kaggle.com/author/kevin-markham/) and [notebooks](https://github.com/justmarkham/scikit-learn-videos) by Kevin Marham\n",
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"* [Python Machine Learning](https://learning.oreilly.com/library/view/python-machine-learning/9781789955750/), Sebastian Raschka, Packt Publishing, 2019."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Licence\n",
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"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
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"\n",
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"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.12"
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},
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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"autocomplete": true,
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"bibliofile": "biblio.bib",
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"cite_by": "apalike",
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