Machine Learning Fundamentals - Lab - Regression

About

This lab walks you through implementing linear regression on a housing dataset from Sacramento.

Prerequisites

• Perform simple statistical analysis in pandas
• Explain simple and multiple linear regression
• Define bias, variance, and correlation
• Define and interpret common regression metrics

Submission

Lab submissions should be made via Canvas. Your submission will be in the form of a link to your Github fork of this repository.

Important note

Please ignore the _layouts folder and the config.yml file in the root of this repo. They are needed to make sure the repo renders well; please don’t change them or delete them and your repo will work fine :)