National University 3.0 credits
Prerequisite: BAN 300; BAN 405 Methods of data mining and how to apply them to business problems. Topics may include: association, classification, clustering, logistic regression, decision trees, neural networks, support vector machines, and market/basket analysis. Data preparation, visualization, and feature selection are also addressed, as are boosting and random forests.
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