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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. Prerequisite: CSC 236. Typically offered annually. Not offered pass/fail.

Prerequisites

CSC 236

Credits

1 course

Spring Semester information

Staff

370A: Data Mining