More Data Mining with Weka

More Data Mining with Weka

WEKA MOOC via YouTube Direct link

More Data Mining with Weka (1.1: Introduction)

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2 of 31

More Data Mining with Weka (1.1: Introduction)

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More Data Mining with Weka

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  1. 1 More Data Mining with Weka: Trailer
  2. 2 More Data Mining with Weka (1.1: Introduction)
  3. 3 More Data Mining with Weka (1.2: Exploring the Experimenter)
  4. 4 More Data Mining with Weka (1.3: Comparing classifiers)
  5. 5 More Data Mining with Weka (1.4: The Knowledge Flow interface)
  6. 6 More Data Mining with Weka (1.5: The Command Line interface)
  7. 7 More Data Mining with Weka (1.6: Working with big data)
  8. 8 More Data Mining with Weka (2.1: Discretizing numeric attributes)
  9. 9 More Data Mining with Weka (2.2: Supervised discretization and the FilteredClassifier)
  10. 10 More Data Mining with Weka (2.3: Discretization in J48)
  11. 11 More Data Mining with Weka (2.4: Document classification)
  12. 12 More Data Mining with Weka (2.5: Evaluating 2‐class classification)
  13. 13 More Data Mining with Weka (2.6: Multinomial Naïve Bayes)
  14. 14 More Data Mining with Weka (3.1: Decision trees and rules)
  15. 15 More Data Mining with Weka (3.2: Generating decision rules)
  16. 16 More Data Mining with Weka (3.3: Association rules)
  17. 17 More Data Mining with Weka (3.4: Learning association rules)
  18. 18 More Data Mining with Weka (3.5: Representing clusters)
  19. 19 More Data Mining with Weka (3.6: Evaluating clusters)
  20. 20 More Data Mining with Weka (4.1: Attribute selection using the "wrapper" method)
  21. 21 More Data Mining with Weka (4.2: The Attribute Selected Classifier)
  22. 22 More Data Mining with Weka (4.3: Scheme-independent attribute selection)
  23. 23 More Data Mining with Weka (4.4: Fast attribute selection using ranking)
  24. 24 More Data Mining with Weka (4.5: Counting the cost)
  25. 25 More Data Mining with Weka (4.6: Cost-sensitive classification vs. cost-sensitive learning)
  26. 26 More Data Mining with Weka (5.1: Simple neural networks)
  27. 27 More Data Mining with Weka (5.2: Multilayer Perceptrons)
  28. 28 More Data Mining with Weka (5.3: Learning curves)
  29. 29 More Data Mining with Weka (5.4: Meta-learners for performance optimization)
  30. 30 More Data Mining with Weka (5.5: ARFF and XRFF)
  31. 31 More Data Mining with Weka (5.6: Summary)

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