Working with the Ames housing data to build a predictive model of Sale Price
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Ames-Housing-Price-Prediction.ipynb
README.md
train.csv

README.md

Ames-Housing-Prices

Working with the Ames housing data to build a predictive model of Sale Price

This notebook walks through my approach to creating a model to predict the sale price for residential properties in Ames, Iowa from 2006 to 2010. A key challenge to using this dataset is the number of features and messiness of the data.

My best performing model explains 97% of the variance in the in-sample data and just over 90% in the out-of-sample hold-out set. At the end of my notebook I offer some reflections and conclusions about the data and modeling exercise.