Machine Learning I

Objectives

The curricular unit of machine learning aims to allow students to gain a fundamental understanding of Predictive Analytics as it relates to improving business performance. This course will cover the basics of machine learning for predictive analytics. Understand the similarities and differences and which options affect the models most.
Topics include machine learning algorithms for supervised learning, such as decision trees, neural networks, k-nearest neighbours, and model ensembles.
At the end of the course, participants can use these skills to produce a fully processed data set compatible with building powerful predictive models that can be deployed to increase profitability.