CS 437 Introduction to Data Mining
Introduces fundamental concepts and methodologies in data mining. Covers the types, attributes and quality of data and gives an overview of data mining algorithms in various real-world tasks, e.g., clustering, classification, regression, and outlier detection. Prepares students to build a whole data mining pipeline, from data preprocessing and model training to model testing and validation.
Slash Listed Courses
Also offered for graduate-level credit as
CS 537 and may be taken only once for credit.