Linear Regression Workshop at IIT-Bombay

This is the code for the "How to Do Linear Regression" workshop session by Jalaj Thanaki at IIT-Bombay.

Overview

• Find the dataset from here
• Find the Code in form of Jupyter Notebook from here
• Find the images from here.

Data

I'm using a very small dataset of student test scores and the amount of hours they studied. Intuitively, we know that there must be a relationship right? The more you study, the better your test scores should be. We're going to use linear regression to prove this relationship.

Dependencies

We need two dependencies

1. numpy
2. Jupyter Notebook

Installation of dependencies

• numpy

  For Pythton 2
    $ pip install numpy 
  For Python 3  
    $ pip3 install numpy
  
  

• Jupyter Notebook

  For Pythton 2
      $ pip install jupyter
  For Python 3  
      $ pip3 install jupyter
      
  

Python 2 and 3 both work for this. Use pip to install any dependencies.

Usage

I have used Python 2 but if you want to use Python 3 then just choose Python3 when you will run code on Jupyter Notebook. As well as change syntax of print command.

Credits

Credits for this code go to mattnedrich and Siraj Raval. I've merely created a wrapper to get people started.