This project introduces different techniques to improve the accuracy of a linear regression to predict the sale prices of house in the city of Ames in Iowa, USA.
Data was collected and compiled, and more information can be found here.
Objective: Use linear regression to predict the sale prices of houses in the city of Ames in Iowa, USA.
Technique used:
- Scikit-learn, pandas, numpy, matplotlib
- Feature engineering and selection
- Data cleaning
- Cross-validation