Projects were done under the mentorship of Dr. Christopher Monterola and Dr. Erika Legara.

In this course, students are introduced to the world of machine learning and predictive analytics. This is a hands-on and an application-heavy module, where they look at real-world data and cases in different fields. Students acquire the basic machine learning skills including hyper tuning of parameters and model evaluation. In addition, they are familiarized with the best practices in predictive analytics including how to properly evaluate models. The most important aim of this course is for students to have a clear framework on how to build mental models using machine learning.