Teaching

IDSC 4444: Exploratory and Predictive Analytics (Spring 2023 / Fall 2023)

• This course provides an in-depth exploration of data mining and machine learning methods. Students will learn various techniques, including exploratory methods such as association rules and cluster analysis, predictive methods such as k-nearest neighbors (k-NN) and decision trees, and text mining methods for extracting valuable insights from text data. The course integrates theoretical lectures with hands-on lab sessions, where students will implement these methods using the R programming language.

• Student Rate of Teaching: 5.27/6 (78% of participation rate)