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ml2/3_8_Exercise_2.ipynb
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89
ml2/3_8_Exercise_2.ipynb
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{
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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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""
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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, © 2016 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 II](3_0_0_Intro_ML_2.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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"# Exercise 2 - The Titanic Dataset"
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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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"In this exercise we are going to put in practice what we have learnt in the notebooks of the session. \n",
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"\n",
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"In the previous notebook we have been applying the SVM machine learning algorithm.\n",
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"\n",
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"Your task is to apply other machine learning algorithms (at least 2) that you have seen in theory or others you are interested in.\n",
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"\n",
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"You should compare the algorithms and describe your experiments."
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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"
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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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"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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"© 2016 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",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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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": "3.5.1+"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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