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Sl.No Chapter Name MP4 Download
1Lecture 1 Introduction, Knowledge Discovery ProcessDownload
2Lecture 2 Data Preprocessing - IDownload
3Lecture 3 Data Preprocessing - IIDownload
4Lecture 4 Association RulesDownload
5Lecture 5 Apriori algorithmDownload
6Lecture 6 : Rule generationDownload
7Lecture 7 : ClassificationDownload
8Lecture 8 : Decision Tree - IDownload
9Lecture 9 : Decision Tree - IIDownload
10Lecture 10 : Decision Tree IIIDownload
11Lecture 11 : Decision Tree IVDownload
12Lecture 12 : Bayes Classifier IDownload
13Lecture 13 : Bayes Classifier IIDownload
14Lecture 14 : Bayes Classifier IIIDownload
15Lecture 15 : Bayes Classifier IVDownload
16Lecture 16 : Bayes Classifier VDownload
17Lecture 17 : K Nearest Neighbor IDownload
18Lecture 18 : K Nearest Neighbor IIDownload
19Lecture 19 : Download
20Lecture 20 Download
21Lecture 21Download
22Lecture 22 : Support Vector Machine IDownload
23Lecture 23 : Support Vector Machine IIDownload
24Lecture 24 : Support Vector Machine IIIDownload
25Lecture 25 : Support Vector Machine IVDownload
26Lecture 26 : Support Vector Machine VDownload
27Lecture 27: Kernel MachinesDownload
28Lecture 28: Artificial Neural Networks IDownload
29Lecture 29:Artificial Neural Networks IIDownload
30Lecture 30: Artificial Neural Networks IIIDownload
31Lecture 31: Artificial Neural Networks IVDownload
32Lecture 32: Clustering IDownload
33Lecture 33: Clustering IIDownload
34Lecture 34: Clustering IIIDownload
35Lecture 35: Clustering IVDownload
36Lecture 36: Clustering VDownload
37Lecture 37 : Regression IDownload
38Lecture 38 : Regression IIDownload
39Lecture 39 : Regression IIIDownload
40Lecture 40 : Regression IVDownload
41Lecture 41 : Dimensionality Reduction - IDownload
42Lecture 42 : Dimensionality Reduction - IIDownload
43Lecture 43 : TutorialDownload
44Live SessionDownload

Sl.No Chapter Name English
1Lecture 1 Introduction, Knowledge Discovery ProcessDownload
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2Lecture 2 Data Preprocessing - IDownload
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3Lecture 3 Data Preprocessing - IIDownload
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4Lecture 4 Association RulesDownload
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5Lecture 5 Apriori algorithmDownload
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6Lecture 6 : Rule generationDownload
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7Lecture 7 : ClassificationDownload
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8Lecture 8 : Decision Tree - IDownload
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9Lecture 9 : Decision Tree - IIDownload
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10Lecture 10 : Decision Tree IIIDownload
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11Lecture 11 : Decision Tree IVDownload
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12Lecture 12 : Bayes Classifier IDownload
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13Lecture 13 : Bayes Classifier IIDownload
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14Lecture 14 : Bayes Classifier IIIDownload
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15Lecture 15 : Bayes Classifier IVDownload
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16Lecture 16 : Bayes Classifier VDownload
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17Lecture 17 : K Nearest Neighbor IDownload
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18Lecture 18 : K Nearest Neighbor IIDownload
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19Lecture 19 : Download
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20Lecture 20 Download
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21Lecture 21Download
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22Lecture 22 : Support Vector Machine IDownload
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23Lecture 23 : Support Vector Machine IIDownload
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24Lecture 24 : Support Vector Machine IIIDownload
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25Lecture 25 : Support Vector Machine IVDownload
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26Lecture 26 : Support Vector Machine VDownload
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27Lecture 27: Kernel MachinesDownload
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28Lecture 28: Artificial Neural Networks IDownload
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29Lecture 29:Artificial Neural Networks IIDownload
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30Lecture 30: Artificial Neural Networks IIIDownload
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31Lecture 31: Artificial Neural Networks IVDownload
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32Lecture 32: Clustering IDownload
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33Lecture 33: Clustering IIDownload
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34Lecture 34: Clustering IIIDownload
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35Lecture 35: Clustering IVDownload
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36Lecture 36: Clustering VDownload
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37Lecture 37 : Regression IDownload
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38Lecture 38 : Regression IIDownload
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39Lecture 39 : Regression IIIDownload
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40Lecture 40 : Regression IVDownload
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41Lecture 41 : Dimensionality Reduction - IDownload
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42Lecture 42 : Dimensionality Reduction - IIDownload
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43Lecture 43 : TutorialDownload
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44Live SessionPDF unavailable


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1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available