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TripAdvisor Challenge, Brown Datathon 2017

This project is an exploration into data analysis using Matlab's neural network toolbox. Given a .csv file filled with TripAdvisor website usage statistics, our team of four attempted to predict whether a given user on that site would make a purchase before leaving.

Our program is able to predict these purchases with an overall accuracy of ~82.3%. There are four main files being used: getDayOfWeek.m, loadForNNData.m, loadSessions.m, and runNN.m. To run our neural net, just run the last two files: loadSessions.m and runNN.m.