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Brown Datathon 2017 project. An exploration into user purchase predictions on TripAdvisor.com using the Matlab neural network toolbox.
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.gitignore
README.md
booked.mat
classifyCategories.m
datathon_tadata.csv
excellent_data.csv
getAverageActivity.m
getAverageCartToBooking.m
getDayOfWeek.m
getLongSessions.m
loadForNNData.m
loadRatesPerDevice.m
loadSessions.m
runNN.m
scoreConfusion.m
trainTrees.m

README.md

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.

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