Predictive Analytics for College Football

xcel data files and teach computer how to predict out comes of college football games. Once that is dialed in to around 70%, then figure out how to beat the spread while most teams only cover 50% each year.

So introduce mr. football from above to predict scores and line totals to identify weekly matchups. Sound fun?

1.) clean and prep databases for agreed upon testing models

2.) run three separate models on same data set and compare Results

3.) Include or exclude model results and back test on 2018 season games.

feedforward algorithm


cost function

back propagation

learning rate/weight updating

The finished model will have exclusive rights of ownership and proprietary results to James R Mahassek. This model, testing patterns and results will not be shared, given, borrowed or sold for any reason without my permission. I will grant you permission exclusively to use the program for your own personal gain to be used for it’s intended purpose, as long it is not discussed or promoted. A confidentially agreement will need to be signed before we begin.

It is going to be a lot of data 8 years with multi inputs each year.

So first I will provide you with databases. You scope out the project cost and time, and we can get started.

Skills: Machine Learning (ML), Artificial Intelligence, Algorithm, Python, Excel VBA

About the Employer:
( 0 reviews ) Glen Carbon, United States

Project ID: #20781304

41 freelancers are bidding on average $7866 for this job


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