Course Catalog
STAT6482 - Machine Learning
Fall 2022
This course will cover the theory and practical application of machine learning algorithms. Students in this course will study supervised and unsupervised learning algorithms. Students will apply machine learning algorithms to datasets to uncover patterns using R and Python. Topics covered include: cluster analysis and association rules, generalized linear models, bagging, kernel methods, random forest, support vector machines, neural networks, k-nearest neighbor, among other algorithms.
3 Credits
3 Credits
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