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This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

Python 100.00%

linear_regression_live's Introduction

linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

##Overview

This is the code for this video on Youtube by Siraj Raval. I'm using a small dataset of student test scores and the amount of hours they studied. Intuitively, 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.

Here are some helpful links:

####Gradient descent visualization https://raw.githubusercontent.com/mattnedrich/GradientDescentExample/master/gradient_descent_example.gif

####Sum of squared distances formula (to calculate our error) https://spin.atomicobject.com/wp-content/uploads/linear_regression_error1.png

####Partial derivative with respect to b and m (to perform gradient descent) https://spin.atomicobject.com/wp-content/uploads/linear_regression_gradient1.png

##Dependencies

  • numpy

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

##Usage

Just run demo.py to see the results.

##Credits

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

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