STA 4111 - Statistical Methods in Data Science

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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