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This project analyzes data to enhance recruiting success at Willamette. With an in-depth look at variables, modeling techniques like neural network and clustering are employed to uncover insights and offer future recommendations.
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Willamette Athletic Group Liz Gilgan Kyle McGeeney Ken Beatty Mike Bowers Kody Betonte
Executive Summary • Enterprise • Data Understanding • Modeling • Data Analysis • Conclusion
Enterprise • Scholarships • Academic Standards • Lack of Structure
Hypothesis Due to the categorical nature of the data we will find a lack of predictors and be unable to improve the success of recruiting at Willamette.
Data Understanding • Acceptance Rate • Defining Success • Assumptions
Data Understanding • Key Variables
Modeling • The Models We Used • Neural Network • Clustering • Market Basket • Why
Neural Networks 100%
Conclusion • The Data • Our Findings • Errors • The Future of Recruiting • Recommendations