STA4111

Statistical Methods in Data Science

Linear regression, supervised and unsupervised learning, classification, decision trees, support vector machines, factor-models and principal component analyses, clustering, feature screening, resampling methods, neural networks, time series models, machine learning methods.Prerequisite(s): STA 2226 and MTH 2775 or permission of instructor

College of Arts and Sciences