├── Linear_Regression.ipynb
└── README.md
/Linear_Regression.ipynb:
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1 | {
2 | "cells": [
3 | {
4 | "cell_type": "code",
5 | "execution_count": 12,
6 | "metadata": {
7 | "collapsed": true
8 | },
9 | "outputs": [],
10 | "source": [
11 | "import pandas as pd\n",
12 | "import numpy as np\n",
13 | "from sklearn import linear_model\n",
14 | "from sklearn.model_selection import train_test_split\n",
15 | "import seaborn as sns\n",
16 | "from sklearn import metrics\n",
17 | "import matplotlib.pyplot as plt\n",
18 | "%matplotlib inline"
19 | ]
20 | },
21 | {
22 | "cell_type": "code",
23 | "execution_count": 13,
24 | "metadata": {
25 | "collapsed": true
26 | },
27 | "outputs": [],
28 | "source": [
29 | "df = pd.read_csv('C://Users//saish//Desktop//MEDIUM//lr//data.csv', index_col=False)"
30 | ]
31 | },
32 | {
33 | "cell_type": "code",
34 | "execution_count": 14,
35 | "metadata": {},
36 | "outputs": [
37 | {
38 | "data": {
39 | "text/html": [
40 | "\n",
41 | "\n",
54 | "
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