STAT 434. Statistical Learning: Methods and Applications. 4 units
Prerequisite: one of the following: STAT 324, STAT 334, or STAT 524. Recommended: STAT 331 or STAT 531.
Modern methods in predictive modeling and classification. Splines, smoothing splines, ridge regression, LASSO, regression and classification trees, generalized additive models, logistic regression, and linear discriminant analysis. Model assessment and selection using cross validation, bootstrapping, AIC, and BIC. 4 lectures.
Kaggle challenge: predict house prices using advanced regression techniques.
The full video demo can be found here: https://www.youtube.com/watch?v=NUUkSHzzCNw