Data Mining

Catalog description

Data often contains patterns and anomalies that only emerge at large scale. In this course, you will import, clean, manipulate, visualize, analyze, and model structured and unstructured data to extract this information. Model building topics covered include text sentiment analysis, regression, classification, and neural networks. Furthermore, you will learn how to perform feature dimensionality reduction and tune model hyperparameters. The knowledge learned in this course culminates in a term project. Prerequisite: Recommend DSC 540