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Hackacity 2019

Team PYTO

Repo for the work presented at Hackacity 2019, which led to a 2nd Prize on the competition 🏆.

We tackled the Local Housing (Alojamento Local) problem

The final presentation is available here

Problem and Goals

  • Use regression techniques to uncover what makes local housing (Alojamento Local) locations be valued by customers and entrepreneurs so that the municipality can better understand how to approach the overflow of local housing problem and how to influence its evolution overtime
  • Detect local housing establishments on booking.com that are not listed in the official municipality dataset, a helping hand in finding illegal establishments

Data Science Pipeline

Datasets

A script to download all the datasets is available in download_all.ipynb and the remaining data is available on the datasets/ folder.

The temporary datasets that were built and used during the competition are available in the generated_datasets/ folder (Initially they were in the root folder and the notebooks still expect that).

Team