Lectures

Lecture 1 (24/07/17): Overview Lecture
Lecture 2 (28/07/17): Linear Methods for Prediction	R code for Lecture 2
Lecture 3 (31/07/17): Linear Methods for Prediction (cont)	R code for Lecture 3	caret article
Lecture 4 (4/08/17): Non-Linear Prediction Methods	R code for Lecture 4
Lecture 5 (7/08/17): Non-Linear Prediction Methods (cont)	R code for Lecture 5
Lecture 6 (11/08/17): Boosting and Bagging	R code for Lecture 6	mboost tutorial
Lecture 7 (14/08/17): Feature Engineering	R code for Lecture 7
Lecture 8 (18/08/17): Linear methods for classification	R code for Lecture 8
Lecture 9 (21/08/17): Non-linear classification rules	R code for Lecture 9
Lecture 10 (25/08/17): Regularization	R code for Lecture 10
Lecture 11 (28/08/17): Imputation	R code for Lecture 11	Mice article	missForest doc	Stekhoven article
Lecture 12 (1/09/17): Course review	Sample test questions