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Project setup
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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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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"# Useful starting lines\n",
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"%matplotlib inline\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"%load_ext autoreload\n",
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"%autoreload 2"
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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 Generate the data\n"
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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": 3,
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"metadata": {},
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"outputs": [
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{
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"ename": "SyntaxError",
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"evalue": "(unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \\UXXXXXXXX escape (<ipython-input-3-994745738658>, line 1)",
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"output_type": "error",
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"traceback": [
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"\u001b[1;36m File \u001b[1;32m\"<ipython-input-3-994745738658>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m yb, input_data, ids = load_csv_data(\"C:\\Users\\Lucas\\EPFL\\MA1\\ML\\ML_course-master\\projects\\project1\\scripts\\test.csv\")\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \\UXXXXXXXX escape\n"
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]
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}
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],
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"source": [
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"yb, input_data, ids = load_csv_data(\"C:\\Users\\Lucas\\EPFL\\MA1\\ML\\ML_course-master\\projects\\project1\\scripts\\test.csv\")\n"
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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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"def least_square_GD(y, tx, initial_w, max_iters, gamma):\n",
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" "
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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": "3.6.1"
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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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