Machine Learning and Advanced Analytics Applications

Catalog description

Credits 1 to 4. 1 to 4 Lecture Hours. Introduction to machine learning concepts in analytics; data preprocessing and visualization; quality metrics in machine learning; construction, applications and validation of regression, decision tree, random forest, ensemble and text analytics; internet programming using Python. Prerequisite: Enrollment in Masters of Science in Analytics Program.