{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":1661,"status":"ok","timestamp":1709602382539,"user":{"displayName":"Srivatsa Kundurthy","userId":"03839108747452750167"},"user_tz":300},"id":"K15X0B8sJuou"},"outputs":[],"source":["# Imports!\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","%matplotlib inline\n","\n","# Import scikit-learn tools!\n","from sklearn.model_selection import train_test_split\n","from sklearn.linear_model import LinearRegression"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"collapsed":true,"executionInfo":{"elapsed":185,"status":"ok","timestamp":1709602456724,"user":{"displayName":"Srivatsa Kundurthy","userId":"03839108747452750167"},"user_tz":300},"id":"6_STFD8GJuov","outputId":"95d6caa4-d977-4d2e-f979-c8ad1bee8eb6"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"df\",\n \"rows\": 100,\n \"fields\": [\n {\n \"column\": \"X\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.289428429977219,\n \"min\": 0.011630010780588007,\n \"max\": 0.9954251702475093,\n \"num_unique_values\": 100,\n \"samples\": [\n 0.02360638828426531,\n 0.018910933823048204,\n 0.9954251702475093\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Y\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.9476506151284375,\n \"min\": -0.634504340863542,\n \"max\": 2.9378953170960727,\n \"num_unique_values\": 100,\n \"samples\": [\n 2.465653756576039,\n 2.7319287360858397,\n -0.4884548312194801\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"df"},"text/html":["\n","
\n"," | X | \n","Y | \n","
---|---|---|
0 | \n","0.559446 | \n","0.712223 | \n","
1 | \n","0.761492 | \n","0.193319 | \n","
2 | \n","0.244532 | \n","1.534062 | \n","
3 | \n","0.771689 | \n","0.495752 | \n","
4 | \n","0.354472 | \n","1.937421 | \n","