Housing Price Dataset Regression Problem
|Provided by||Arun Kaashyap Arunachalam – MS in Computer Science|
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.
This project is from Kaggle and the dataset can be accessed at here with information regarding the dataset and the features available for training the regression model.