CSC 370

Data Mining

Data mining is the effort to reach useful conclusions from data by building interpretive and predictive computational models. This course prepares students to do this through hands-on exploration of data preparation, and model development, tuning, and validation. This is done in the context of various algorithms such as gradient-descent, ensemble methods, and linear regression. Coursework includes multiple significant programming projects and a large final project. Prerequisites: CSC 232 and CSC 233.

Distribution Area Prerequisites Credits
CSC 232 and CSC 233 1 course

Fall Semester information

Paul Bible

370A: Data Mining


Paul Bible

370B: Data Mining