Ask a home buyer to describe their dream house, and they probably won't begin with the height of the
basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset
proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.
With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this
competition challenges you to predict the final price of each home.
Creative feature engineering
Advanced regression techniques like random forest and gradient boosting