Week 6 Lecture 46 - Minimum Description Length & Exploratory Analysis
26:03
Week 6 Lecture 45 - The ROC Curve
24:36
Week 1 Lecture 2 - Supervised Learning
30:56
Week 4 Lecture 23 SVMs for Linearly Non Separable Data
14:35
Week 3 Lecture 14 Partial Least Squares
25:21
Week 3 Weka Tutorial
13:10
Logistic Regression Algorithm in Machine Learning with Solved Numerical Example by Mahesh Huddar
8:37
Ensemble Learning Techniques Voting Bagging Boosting Random Forest Stacking in ML by Mahesh Huddar
17:38