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Gridiron Genius: Using Neural Networks to Predict College Football
dc.contributor.authorBoll, Luke
dc.contributor.advisorMcCormick, Jason
dc.date.accessioned2023-06-08T20:20:42Z
dc.date.available2023-06-08T20:20:42Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/2027.42/176935
dc.description.abstractThis project aims to revolutionize college football game predictions by utilizing neural networks and deep learning technologies. This project is able to forecast college football games with a high degree of accuracy by utilizing enormous historical game data. By training the system with a variety of factors such as team statistics and home-field advantage, this model can provide reliable insights and predictions for the most passionate college football fans.
dc.subjectneural networks
dc.subjectmachine learning
dc.subjectcollege football
dc.titleGridiron Genius: Using Neural Networks to Predict College Football
dc.typeProject
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumComputer Science and Aerospace Engineering
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176935/1/Luke_Boll_Honors_Capstone_Report_-_Luke_Boll.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176935/2/Luke_boll_capstone_poster_-_Luke_Boll.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/7671
dc.working.doi10.7302/7671en
dc.owningcollnameHonors Program, The College of Engineering


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