STAT 523 Predictive Analytics

Investigation and application of methods and models used for predictive modeling and predictive analytics. Topics may include neural networks, logistic regression, k-nearest neighbor classification, the C4.5 algorithms, CHAID and QUEST decision trees, feature selection, boosting, naive Bayes classification and Bayesian networks, time series, and model evaluation techniques.

Credits

4

Prerequisite

STAT 521 or permission of department chair.

General Education

Offered

• Fall

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