Statistical Modeling and Machine Learning II

3 credits · Graduate credit

This builds on material presented in Statistical methods and Machine learning I. Topics include: categorical data analysis, logistic regression, model selection for inference and prediction, classification using K-means and neural networks, survival analysis, principal components, and factor analysis.