Applied Analytics

Catalog description

Credits 3. 3 Lecture Hours. . Introduction to data mining and will demonstrate the procedures; Optimal prediction decisions; comparing and deploying predictive models; neural networks; constructing and adjusting tree models; the construction and evaluation of multi-stage models. Prerequisite: STAT 408 or equivalent.