CSE4011

Data Science

Audit, Pass/Fail, Standard Letter

Data preprocessing: assembly, integration, cleaning, analysis. Visualization. Introduction to Machine Learning using Python: Continuous and categorical features. Evaluation metrics such as F1-score and AuC. Problems from different domains. Students are expected to communicate and present their findings and results. Every student must complete at least one hands-on project.