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Bus Lateness prediction Hack Nights Fall 2018 co-hosted with ACV Auctions

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Repository https://github.com/aunik22/Bus-Lateness-Predictor-and-Visualizer

Uses the Rochester bus arrival data to predict the percentage of on-time arrivals for different bus companies for different months of the year. Used a simple linear regression model using the scikit learn library. After getting the predictions, different bus stations are colored green or red on Google Maps depending on how likely they are to arrive on time. This mapping is done using the Google Maps Api and JavaScript.

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