This is the final project for my Regression class at Ecole Polytechnique (MSc Data Science, 2019-2020). I worked with a classmate (Tommy Tran) to predict house prices using regression techniques in R.
- We first pre-processed a raw dataset containing information about sale prices, location, house characteristics...
- Then we went through exploratory data analysis to understand our dataset and check how variables behave (compared to sale price and to each other).
- We finally built and evaluated regression models using R.
You will find in this repository our final report and working files.