TripAdvisor Hotel Preferences with Machine Learning

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  Star Rating v. Bubble Score

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  Star Rating v. Review Count

Inspiration

Years ago, one of our members shocked the world with his outstanding ability to scour the internet in search of the best flight deals possible. The result: $60 roundtrip tickets for him and his family from Boston to Hawaii.

What it does

This project uses user data to predict what type of hotel the user will be most likely to click, thereby earning TripAdvisor the most money.

How we built it

To build the project we used pandas in combination with sklearn, numpy and tensorflow to create and model the data.

Built With

• kmeans
• numpy
• pandas
• python
• sklearn