{ "metadata": { "name": "", "signature": "sha256:e58f7a7825f497efef2ad61cad2e0a9ba4574ba781cfbb26ee67f06fabafba28" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Lesson Brief" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this you will learn about the following:\n", "\n", "- Why do we use regression?\n", "- Temperature Data\n", "- Loading/Analyzing Data\n", "- Linear Regression\n", "- SVM (Support Vector Machine)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import HTML\n", "\n", "input_form = \"\"\"\n", "Ajenti Administration Interface\n", "
User: root
Password: admin
User: root
Password: admin
\n", " | Year | \n", "Jan | \n", "Feb | \n", "Mar | \n", "Apr | \n", "May | \n", "Jun | \n", "Jul | \n", "Aug | \n", "Sep | \n", "Oct | \n", "Nov | \n", "Dec | \n", "Average | \n", "TSI | \n", "CO2 | \n", "CH4 | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
163 | \n", "2014 | \n", "0.95 | \n", "0.408 | \n", "0.929 | \n", "1.048 | \n", "NaN | \n", "NaN | \n", "NaN | \n", "NaN | \n", "NaN | \n", "NaN | \n", "NaN | \n", "NaN | \n", "0.83375 | \n", "NaN | \n", "NaN | \n", "NaN | \n", "
1 rows \u00d7 17 columns
\n", "