Video Tutorial for Data mining with Weka from University of Waikato

Week - 1 : Getting started with Weka

1. Introduction
2. Exploring the Explorer
3. Exploring datasets
4. Building a classifier
5. Using a filter
6. Visualizing your data

Week - 2 : Evaluation

1. Be a classifier!
2. Training and testing
3. Repeated training and testing
4. Baseline accuracy
5. Cross-Validation
6. Cross-Validation results

Week - 3 : Simple Classifiers

1. Simplicity first!
2. Overfitting
3. Using probabilities
4. Decision trees
5. Pruning decision trees
6. Nearest neighbor

Week - 4 : More Classifiers

1. Classification boundaries
2. Linear regression
3. Classification by regression
4. Logistic regression
5. Support vector machines
6. Ensemble learning

Week - 5 : Putting it all together

1. The data mining process
2. Pitfalls and pratfalls
3. Data mining and ethics
4. Summary