I created a multi-factor linear regression model using housing features contained in the King’s County data set to predict house prices. Throughout the project, I followed the OSEMiN model consisting of the following steps: Obtain, Scrub, Explore, Model, and iNterpret the data.
For more information, view the complete project’s jupyter notebook.