Airbnb Market Analysis in NYC & Paris

This was my group's capstone project in the Dev10 data track.

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Summary: This study aims to assist Airbnb hosts in maximizing their rental income by leveraging data-driven pricing strategies. Our analysis of Airbnb listings in New York and Paris also incorporates data from the Yelp API for nearby restaurants and attractions. The project deliverables provide Airbnb owners with actionable insights as well as a machine learning model to optimize their listing prices based on various factors.  

Languages/techs used: 

Python, pandas dataframes, yelp api consumption, geopy distance calculation, folium package, ML ensembling