Predictive Methods of Data Mining

Objectives

The curricular unit of data mining primary goal is to provide students with a fundamental understanding of Predictive Analytics as it relates to improving business performance. This course will cover the basics of predictive analytics and modelling data to determine which algorithms to use and to understand the similarities and differences and which options affect the models most. Topics covered include predictive analytics algorithms for supervised learning, including decision trees, neural networks, k-nearest neighbor, and model ensembles. At the end of the course, participants will be able to use these skills to produce a fully processed data set compatible with building powerful predictive models that can be deployed to increase profitability.