IEOR142: Introduction to Machine Learning and Data Analytics

Graduate student instructor for an undergraduate-level course that introduces machine learning models and data analytics techniques. Key models studied include linear regression, logistic regression, classification and regression trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning. Examples and exercises are provided in Python and R.