This notebook is a supplementary file for the submission of the Project in the Course MOEC0482: Big Data Methods for Economists at the University of Zurich.

To view the Notebook please use this link: https://nbviewer.jupyter.org/github/feljost/RentPrediction_BDM4E/blob/main/Prediction_Notebook.ipynb

We use a dataset on swiss real estate in order to predict a monthly renting price. We use 8 different prediction algorithms, of which XGB performs the best. The dataset is not uploaded to GitHub.

If you want to run the Notebook, you will need to use the dataset provided in the course, as well as the gemeinden GEOJSON file provided in this repository (source: https://github.com/cividi/ch-municipalities)

Authors: Felix Jost (15-067-861), Maxime Vandierendounck (16-730-137)

Supervisors: Dr. Massimo Mannino (University of St. Gallen) and Lin Xu (University of Zurich)