Authors: Pete Davis, Andrew Han, Steve Sohn, Matthew Streichler, Dian Zhao

Abstract

The main goal of this project was to analyze customer browsing patterns on Expedia to predict which hotel cluster they will book from. We first went over the problem statement and the motivation behind the project. Next, we explored the data and explained what types of pre-processing methods we went through before applying the dataset to the model. Based on the cleaned dataset, we explained how and why we applied different machine learning methods. Finally, we elaborated on our results and insights.

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