Predicting House Prices

A case study with SciKit Learn and Pandas

This is my linear regression model for predicting housing prices based on a variety of home attributes.

I trained my model by randomly splitting the data into a training set (70%) and test set (30%).

I received my materials from the Metis Intro to Regression Day Bootcamp: https://www.meetup.com/Metis-San-Francisco-Data-Science/

Taught by Adam Wearne: https://www.linkedin.com/in/adamwearne/

Using the Ames Housing Data:

Dean De Cock Truman State University Journal of Statistics Education Volume 19, Number 3(2011), www.amstat.org/publications/jse/v19n3/decock.pdf