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 Kaggle competition's dataset proves that much more influences price negotiations than the number of bedrooms or the presence of 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.
Data and Description: https://www.kaggle.com/c/house-prices-advanced-regression-techniques
Description of Work
Please contact any of the members below:
- Huy Hoang Nguyen: hoangnguyen@smu.edu
- Ikenna Nwaogu: inwaogu@smu.edu
- Hao Wang: wangmichael@smu.edu