dsnair / house-prices

Use ML to predict house prices

Project Description

Given 80 explanatory variables, predict the values of 1459 residential homes in Ames, Iowa. More information about the data and project can be found at House Prices Kaggle competition

Data file type: CSV

Work Summary

1. Data pre-processing
2. Feature engineering
3. Predict house prices with ML algorithms:

• Random forest
• Ridge regression
• Correlation analysis