DATA 513 Predictive Analytics: Classification

Investigation and application of analytical methods for prediction using classification models.  Topics will include neural networks, logistic regression, data-driven misclassification costs, and segmentation models.  Further topics may include k-nearest neighbor classification, advanced decision tree algorithms, QUEST, CHAID, naive Bayes classification and Bayesian networks, cost-benefit analysis for trinary and k-nary models. market basket analysis, and association rules. 

Credits

4

Prerequisite

DATA 511 or permission of department chair.

General Education

Offered

  • Fall