Ames Housing - Part 2 - Building Models

In a previous post in this series, we did an exploratory data analysis of the Ames Housing dataset. In this post, we will build linear and non-linear models and see how well they predict the SalePrice of properties. Evaluation Criteria Root-Mean-Squared-Error (RMSE) between the logarithm of the predicted value and the logarithm of the observed SalePrice will be our evaluation criteria. Taking the log ensures that errors in predicting expensive and cheap houses will affect the result equally.