Machine Learning II | St. Clair College
Course Code
Course Credit

This course extends what the student learned in Machine Learning I. A broader set of algorithms will be introduced. Students will have the opportunity to explore strategies for improving the performance of algorithms such as feature selection and engineering regularization cross-validation and parameter tuning. The latter part of the course will be devoted to introducing the basic concepts and structure for various neural networks.