Classification and Partitions of the Feature Space (0:00:16)
Classification and Regression Trees (0:09:36)
CART Algorithm (0:20:21)
Measures of Node Impurity (0:27:36)
Stopping Criteria (0:35:24)
Observations about CART (0:37:39)
Tuning of Stopping Criteria in CART (0:45:57)
Cost-complexity pruning (0:52:05)
Re-cap of the Bootstrap (0:57:24)
Bootstrap Aggregation (Bagging) (1:18:05)
Random Forests (1:29:07)
Variable Importance (1:37:24)
Take-home Message (1:58:52)

Principal Component Analysis (0:00:12)
Rayleigh Quotient (0:06:39)
Short on Pre-Processing (0:25:37)
PCA Algorithm (0:30:09)
PCA and Dimension Reduction (0:35:59)
Importance of Standardisation (0:58:04)
Singular Value Decomposition (1:15:39)
SVD and PCA (1:23:49)
SVD and Dimension Reduction (1:28:14)
Connections between SVD and Discriminant Analysis (1:35:04)
Regularised Discriminant Analysis (1:44:25)
Take-home Message (1:48:14)