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jbrnbrg

Tag: sklearn

Predicting House Sale Price with the Ames Housing Data

In this post I’m going to perform simplified bottoms-up EDA, model development, prediction, and model evaluation using a public data set that contains data for houses that sold in Ames, Iowa. This post essentially revisits a previous analysis I performed in a group for my MS degree program at CUNY. The main differences here will be that my analysis will be abbreviated to illustrate my skillset, I’ll be using python instead of R, and I will be relying on python’s fantastic scikit-learn library to perform the regressions.