Data Mining | Data Mining - IITKGP

Data Mining - IITKGP

Course Details

Course Lessons

  1. 1 | Lecture 1 Introduction, Knowledge Discovery Process 00:23:12
  2. 2 | Lecture 2 Data Preprocessing - I 00:36:13
  3. 3 | Lecture 3 Data Preprocessing - II 00:26:19
  4. 4 | Lecture 4 Association Rules 00:27:27
  5. 5 | Lecture 5 Apriori algorithm 00:27:01
  6. 6 | Lecture 6 : Rule generation 00:22:57
  7. 7 | Lecture 7 : Classification 00:10:56
  8. 8 | Lecture 8 : Decision Tree - I 00:31:57
  9. 9 | Lecture 9 : Decision Tree - II 00:27:16
  10. 10 | Lecture 10 : Decision Tree III 00:29:21
  11. 11 | Lecture 11 : Decision Tree IV 00:11:06
  12. 12 | Lecture 12 : Bayes Classifier I 00:29:13
  13. 13 | Lecture 13 : Bayes Classifier II 00:30:46
  14. 14 | Lecture 14 : Bayes Classifier III 00:29:25
  15. 15 | Lecture 15 : Bayes Classifier IV 00:25:12
  16. 16 | Lecture 16 : Bayes Classifier V 00:26:09
  17. 17 | Lecture 17 : K Nearest Neighbor I 00:29:38
  18. 18 | Lecture 18 : K Nearest Neighbor II 00:24:44
  19. 19 | Lecture 19 : 00:29:49
  20. 20 | Lecture 20 00:26:55
  21. 21 | Lecture 21 00:24:27
  22. 22 | Lecture 22 : Support Vector Machine I 00:24:35
  23. 23 | Lecture 23 : Support Vector Machine II 00:23:20
  24. 24 | Lecture 24 : Support Vector Machine III 00:27:39
  25. 25 | Lecture 25 : Support Vector Machine IV 00:30:09
  26. 26 | Lecture 26 : Support Vector Machine V 00:28:11
  27. 27 | Lecture 27: Kernel Machines 00:28:52
  28. 28 | Lecture 28: Artificial Neural Networks I 00:27:06
  29. 29 | Lecture 29:Artificial Neural Networks II 00:25:57
  30. 30 | Lecture 30: Artificial Neural Networks III 00:28:40
  31. 31 | Lecture 31: Artificial Neural Networks IV 00:28:28
  32. 32 | Lecture 32: Clustering I 00:26:58
  33. 33 | Lecture 33: Clustering II 00:27:20
  34. 34 | Lecture 34: Clustering III 00:27:25
  35. 35 | Lecture 35: Clustering IV 00:26:25
  36. 36 | Lecture 36: Clustering V 00:25:03
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