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.ipynb_checkpoints/
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# SML Homework
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Authors:
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* Gregory Martin
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* Lucas Pelerin
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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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"# Comparison of differents Learning Methods"
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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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"## Decision Tree"
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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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"See http://scikit-learn.org/stable/modules/tree.html"
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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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"## Logistic Regression"
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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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"See http://scikit-learn.org/stable/modules/linear_model.html#logistic-regression"
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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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"## Bayesian"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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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": "3.5.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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@ -0,0 +1,41 @@
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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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"# Comparison of differents Parameters"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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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": "3.5.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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