This is a Machine Learning based project, where house prices are predicted based on 81 features given in the dataset. I used two regression techniques to compare which regression technique gives better results.
Training set had 81 features and 1460 records.
Using high correlation, we eliminated 70 features.
As a result, only 10 features remained.