Predictive Analytics to Support Student Recruitment
Utilize data mining techniques (e.g. artificial neural networks, genetic algorithms, gbm, etc.) to develop a generalized model to help discern which students have the highest probability of success. The model would be able to be customized for a given institution using that institution's own historical data.
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