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 Bible370A: Data Mining
Paul Bible