Published: April 4, 2017
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By: Andrew Bates, University of California San Diego
For our final project for Math 189, we took part in the Kaggle competition House Prices: Advanced Regression Techniques. The objective was to predict housing prices for the Ames Housing Dataset. Using a boosted regression tree as our final model, we placed 836th out of 2813 competitors at the time of submitting the project.