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Predicting Margin of Victory in College Football Games

Our NYU DS-GA 1003 class project: Predicting Margin of Victory in College Football Games

This repository holds the code and data for our project on predicting the margin of victory in college football games.

Authors: Isaac Julius Haberman [email protected], Chris Rogers [email protected], and Stephen Whiting Carrow [email protected]

Python scripts and IPython Notebooks for transforming and cleaning the data, as well as generating additional features can be found here. All data is located in the data/ directory. Feature creation is in data_constructurs.

The main model is implemented and analysed in modeling.py

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