1. Artificial Neural Networks for the NFL Draft
Trevor Berceau

2. Data College Statistics 12 Features
Rushing & Receiving: Attempts, Yards, Average, Long, TD
Combined: Fumbles, Fumbles Lost
12 Features
Limit scope to 1 output (NFL 1-year Rushing Yards)

3. Challenges Missing data Outliers – immeasurable factors?
Combine shown to be ineffective
Will it perform comparable to humans?

4. Procedure Neural Network Function Approximation Unprocessed Data
PCA via SVD
Drop some inputs (receiving)?

5. Status Unprocessed data – performs miserably
Processed features – perform better, will it be good enough?
If successful, will be first tool capable of predicting a college football player’s performance with any accuracy