DataCamp project 2021 - M2 Data Science

Authors : Cyril Nérin - Alexandre Perbet - Paul Orluc - Walid Chrimni - Zakaria Bekkar - Hugo Rialan

Data source : Airbnb dataset link / Data dictionary

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Project description :

The idea of the project is to use Machine Learning algorithms to predict the price of an Airbnb rental in Paris.

Such an algorithm could be very useful for rental sites, Here are the potentials use cases :

• Predict the price of an apartment rental based on its characteristics to advise owners. This can help owners choose a price that is neither too high nor too low for their property.
• Scams are very present on rental sites. For example, fake accommodations at attractive prices allow scammers to steal identity papers. It could be interesting to detect such fraudulent ads in order to warn customers and to prevent them.

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Project overview :

• Main notebook - HTML
• Dataset exploratory
• Map of housing locations in the dataset

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Getting started

Install dependencies

pip install -U -r requirements.txt

Get data

python download_data.py

Test a submission

ramp-test --submission my_submission