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YouTube

Data Mining with Weka

University of Waikato via YouTube

Syllabus

Data Mining with Weka: Trailer.
Data Mining with Weka (1.1: Introduction).
Data Mining with Weka (1.2: Exploring the Explorer).
Data Mining with Weka (1.3: Exploring datasets).
Data Mining with Weka (1.4: Building a classifier).
Data Mining with Weka (1.5: Using a filter ).
Data Mining with Weka (1.6: Visualizing your data).
Data Mining with Weka (2.1: Be a classifier!).
Data Mining with Weka (2.2: Training and testing).
Data Mining with Weka (2.3: Repeated training and testing).
Data Mining with Weka (2.4: Baseline accuracy).
Data Mining with Weka (2.5: Cross-validation).
Data Mining with Weka (2.6: Cross-validation results).
Data Mining with Weka (3.1: Simplicity first!).
Data Mining with Weka (3.2: Overfitting).
Data Mining with Weka (3.3: Using probabilities).
Data Mining with Weka (3.4: Decision trees).
Data Mining with Weka (3.5: Pruning decision trees).
Data Mining with Weka (3.6: Nearest neighbor).
Data Mining with Weka (4.1: Classification boundaries).
Data Mining with Weka (4.2: Linear regression).
Data Mining with Weka (4.3: Classification by regression).
Data Mining with Weka (4.4: Logistic regression).
Data Mining with Weka (4.5: Support vector machines).
Data Mining with Weka (4.6: Ensemble learning).
Data Mining with Weka (5.1: The data mining process).
Data Mining with Weka (5.2: Pitfalls and pratfalls).
Data Mining with Weka (5.3: Data mining and ethics).
Data Mining with Weka (5.4: Summary).

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WEKA MOOC

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