Document Type
Article
Publication Date
2015
Abstract
Machine Learning and Artificial Neural Networks are mature, easy-to-use technologies that remain under-utilized. We present a case study demonstrating the ease-of-use and effectiveness of freely available open-source Artificial Neural Network software to predict prospective student matriculation for University admissions. We discuss data collection, formatting and transformation, and assess our results.
Recommended Citation
Hansen, David, "Machine Learning for Predictive Analytics Made Easy – A Case Study" (2015). Faculty Publications - Department of Electrical Engineering and Computer Science. 15.
https://digitalcommons.georgefox.edu/eecs_fac/15