Paris Real Estate Price Model

This repository implements a model to estimate the real estate prices of old apartments in Paris. The model takes a geographical coordination and returns an estimate of the price per square meter.

External sources and data:

• List of real estate transactions carried out on the entire French territory since 2014
  • Documentation of the data (french)
  • Translation of documentation (english with Google Translate)
• List of cadastral parcels in Paris
  • Documentation of the data (french)

How to use

All source files are to be found in src/

1. Download data with data_downloader.py. This creates the data/ folder
2. Filter and join data with data_filter.py
3. Find ideal model parameters with model_trainer.py
4. Use model to correlate real estate prices with coordinates with price_estimator.py

A more thorough documentation of the code can be found in the documentation.ipynb jupyter notebook.

Dependencies

• pyshp
• sklearn