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Sl.No Chapter Name MP4 Download
1Lecture 1 INTRODUCTIONDownload
2Lecture 2 DATA MINING PROCESSDownload
3Lecture 3 INTRODUCTION TO RDownload
4Lecture 4 BASIC STATISTICSDownload
5Lecture 5 BASIC STATISTICS PART-2Download
6Lecture 6 PARTITIONING PROCESSDownload
7Lecture 7 VISUALIZATION TECHNIQUESDownload
8Lecture 8 VISUALIZATION TECHNIQUES PART-2Download
9Lecture 9 VISUALIZATION TECHNIQUES PART-3Download
10Lecture 10 VISUALIZATION TECHNIQUES PART-4Download
11Lecture 11 VISUALIZATION TECHNIQUES PART-5Download
12Lecture 12 VISUALIZATION TECHNIQUES PART-6Download
13Lecture 13 DIMENSION REDUCTION TECHNIQUESDownload
14Lecture 14 DIMENSION REDUCTION TECHNIQUES PART-2Download
15Lecture 15 DIMENSION REDUCTION TECHNIQUES PART-3Download
16Lecture 16 PERFORMANCE METRICSDownload
17Lecture 17 PERFORMANCE METRICS PART-2 Download
18Lecture 18 PERFORMANCE METRICS PART-3Download
19Lecture 19 PERFORMANCE METRICS PART-4Download
20Lecture 20 PERFORMANCE METRICS PART-5Download
21Lecture 21 PREDICTION PERFORMANCEDownload
22Lecture 22 MULTIPLE LINEAR REGRESSIONDownload
23Lecture 23 MULTIPLE LINEAR REGRESSION PART-2Download
24Lecture 24 MULTIPLE LINEAR REGRESSION PART-3Download
25Lecture 25 MULTIPLE LINEAR REGRESSION PART-4Download
26Lecture 26 MULTIPLE LINEAR REGRESSION PART-5Download
27Lecture 27 MULTIPLE LINEAR REGRESSION PART-6Download
28Lecture 28 MACHINE LEARNING TECHNIQUE K- NNDownload
29Lecture 29 MACHINE LEARNING TECHNIQUE K- NN PART-2Download
30Lecture 30 MACHINE LEARNING TECHNIQUE K-NN PART-3Download
31Lecture 31 NAIVE BAYESDownload
32Lecture 32 NAIVE BAYES PART-2Download
33Lecture 33 NAIVE BAYES PART-3Download
34Lecture 34 NAIVE BAYES PART-4Download
35Lecture 35 NAIVE BAYES PART-5Download
36Lecture 36 CLASSIFICATION AND REGRESSION TREESDownload
37Lecture 37 CLASSIFICATION AND REGRESSION TREES PART-2Download
38Lecture 38 CLASSIFICATION AND REGRESSION TREES PART-3Download
39Lecture 39 CLASSIFICATION AND REGRESSION TREES PART-4Download
40Lecture 40 CLASSIFICATION AND REGRESSION TREES PART-5Download
41Lecture 41 CLASSIFICATION AND REGRESSION TREES PART-6Download
42Lecture 42 PRUNING PROCESSDownload
43Lecture 43 PRUNING PROCESS PART-2Download
44Lecture 44 PRUNING PROCESS PART-3Download
45Lecture 45 REGRESSION TREESDownload
46Lecture 46 LOGISTIC REGRESSIONDownload
47Lecture 47 LOGISTIC REGRESSION PART-2Download
48Lecture 48 LOGISTIC REGRESSION PART-3Download
49Lecture 49 LOGISTIC REGRESSION PART-4Download
50Lecture 50 LOGISTIC REGRESSION PART-5 Download
51Lecture 51 LOGISTIC REGRESSION PART-6Download
52Lecture 52 LOGISTIC REGRESSION PART-7Download
53Lecture 53 ARTIFICIAL NEURAL NETWORKSDownload
54Lecture 54 ARTIFICIAL NEURAL NETWORK PART-2Download
55Lecture 55 ARTIFICIAL NEURAL NETWORK PART-3Download
56Lecture 56 ARTIFICIAL NEURAL NETWORK PART-4 Download
57Lecture 57 ARTIFICIAL NEURAL NETWORK PART-5Download
58Lecture 58 ARTIFICIAL NEURAL NETWORK PART-6Download
59Lecture 59 DISCRIMINANT ANALYSISDownload
60Lecture 60 DISCRIMINANT ANALYSIS PART-2Download

Sl.No Chapter Name English
1Lecture 1 INTRODUCTIONDownload
Verified
2Lecture 2 DATA MINING PROCESSDownload
Verified
3Lecture 3 INTRODUCTION TO RDownload
Verified
4Lecture 4 BASIC STATISTICSDownload
Verified
5Lecture 5 BASIC STATISTICS PART-2Download
Verified
6Lecture 6 PARTITIONING PROCESSDownload
Verified
7Lecture 7 VISUALIZATION TECHNIQUESDownload
Verified
8Lecture 8 VISUALIZATION TECHNIQUES PART-2Download
Verified
9Lecture 9 VISUALIZATION TECHNIQUES PART-3Download
Verified
10Lecture 10 VISUALIZATION TECHNIQUES PART-4Download
Verified
11Lecture 11 VISUALIZATION TECHNIQUES PART-5Download
Verified
12Lecture 12 VISUALIZATION TECHNIQUES PART-6Download
Verified
13Lecture 13 DIMENSION REDUCTION TECHNIQUESDownload
Verified
14Lecture 14 DIMENSION REDUCTION TECHNIQUES PART-2Download
Verified
15Lecture 15 DIMENSION REDUCTION TECHNIQUES PART-3Download
Verified
16Lecture 16 PERFORMANCE METRICSDownload
Verified
17Lecture 17 PERFORMANCE METRICS PART-2 Download
Verified
18Lecture 18 PERFORMANCE METRICS PART-3Download
Verified
19Lecture 19 PERFORMANCE METRICS PART-4Download
Verified
20Lecture 20 PERFORMANCE METRICS PART-5Download
Verified
21Lecture 21 PREDICTION PERFORMANCEDownload
Verified
22Lecture 22 MULTIPLE LINEAR REGRESSIONDownload
Verified
23Lecture 23 MULTIPLE LINEAR REGRESSION PART-2Download
Verified
24Lecture 24 MULTIPLE LINEAR REGRESSION PART-3Download
Verified
25Lecture 25 MULTIPLE LINEAR REGRESSION PART-4Download
Verified
26Lecture 26 MULTIPLE LINEAR REGRESSION PART-5Download
Verified
27Lecture 27 MULTIPLE LINEAR REGRESSION PART-6Download
Verified
28Lecture 28 MACHINE LEARNING TECHNIQUE K- NNDownload
Verified
29Lecture 29 MACHINE LEARNING TECHNIQUE K- NN PART-2Download
Verified
30Lecture 30 MACHINE LEARNING TECHNIQUE K-NN PART-3Download
Verified
31Lecture 31 NAIVE BAYESDownload
Verified
32Lecture 32 NAIVE BAYES PART-2Download
Verified
33Lecture 33 NAIVE BAYES PART-3Download
Verified
34Lecture 34 NAIVE BAYES PART-4Download
Verified
35Lecture 35 NAIVE BAYES PART-5Download
Verified
36Lecture 36 CLASSIFICATION AND REGRESSION TREESDownload
Verified
37Lecture 37 CLASSIFICATION AND REGRESSION TREES PART-2Download
Verified
38Lecture 38 CLASSIFICATION AND REGRESSION TREES PART-3Download
Verified
39Lecture 39 CLASSIFICATION AND REGRESSION TREES PART-4Download
Verified
40Lecture 40 CLASSIFICATION AND REGRESSION TREES PART-5Download
Verified
41Lecture 41 CLASSIFICATION AND REGRESSION TREES PART-6Download
Verified
42Lecture 42 PRUNING PROCESSDownload
Verified
43Lecture 43 PRUNING PROCESS PART-2Download
Verified
44Lecture 44 PRUNING PROCESS PART-3Download
Verified
45Lecture 45 REGRESSION TREESDownload
Verified
46Lecture 46 LOGISTIC REGRESSIONDownload
Verified
47Lecture 47 LOGISTIC REGRESSION PART-2Download
Verified
48Lecture 48 LOGISTIC REGRESSION PART-3Download
Verified
49Lecture 49 LOGISTIC REGRESSION PART-4Download
Verified
50Lecture 50 LOGISTIC REGRESSION PART-5 Download
Verified
51Lecture 51 LOGISTIC REGRESSION PART-6Download
Verified
52Lecture 52 LOGISTIC REGRESSION PART-7Download
Verified
53Lecture 53 ARTIFICIAL NEURAL NETWORKSDownload
Verified
54Lecture 54 ARTIFICIAL NEURAL NETWORK PART-2Download
Verified
55Lecture 55 ARTIFICIAL NEURAL NETWORK PART-3Download
Verified
56Lecture 56 ARTIFICIAL NEURAL NETWORK PART-4 Download
Verified
57Lecture 57 ARTIFICIAL NEURAL NETWORK PART-5Download
Verified
58Lecture 58 ARTIFICIAL NEURAL NETWORK PART-6Download
Verified
59Lecture 59 DISCRIMINANT ANALYSISDownload
Verified
60Lecture 60 DISCRIMINANT ANALYSIS PART-2Download
Verified
Sl.No Chapter Name Gujarati
1Lecture 1 INTRODUCTIONDownload
2Lecture 2 DATA MINING PROCESSDownload
3Lecture 3 INTRODUCTION TO RDownload
4Lecture 4 BASIC STATISTICSDownload
5Lecture 5 BASIC STATISTICS PART-2Download
6Lecture 6 PARTITIONING PROCESSDownload
7Lecture 7 VISUALIZATION TECHNIQUESDownload
8Lecture 8 VISUALIZATION TECHNIQUES PART-2Download
9Lecture 9 VISUALIZATION TECHNIQUES PART-3Download
10Lecture 10 VISUALIZATION TECHNIQUES PART-4Download
11Lecture 11 VISUALIZATION TECHNIQUES PART-5Download
12Lecture 12 VISUALIZATION TECHNIQUES PART-6Download
13Lecture 13 DIMENSION REDUCTION TECHNIQUESDownload
14Lecture 14 DIMENSION REDUCTION TECHNIQUES PART-2Download
15Lecture 15 DIMENSION REDUCTION TECHNIQUES PART-3Download
16Lecture 16 PERFORMANCE METRICSDownload
17Lecture 17 PERFORMANCE METRICS PART-2 Download
18Lecture 18 PERFORMANCE METRICS PART-3Download
19Lecture 19 PERFORMANCE METRICS PART-4Download
20Lecture 20 PERFORMANCE METRICS PART-5Download
21Lecture 21 PREDICTION PERFORMANCEDownload
22Lecture 22 MULTIPLE LINEAR REGRESSIONDownload
23Lecture 23 MULTIPLE LINEAR REGRESSION PART-2Download
24Lecture 24 MULTIPLE LINEAR REGRESSION PART-3Download
25Lecture 25 MULTIPLE LINEAR REGRESSION PART-4Download
26Lecture 26 MULTIPLE LINEAR REGRESSION PART-5Download
27Lecture 27 MULTIPLE LINEAR REGRESSION PART-6Download
28Lecture 28 MACHINE LEARNING TECHNIQUE K- NNDownload
29Lecture 29 MACHINE LEARNING TECHNIQUE K- NN PART-2Download
30Lecture 30 MACHINE LEARNING TECHNIQUE K-NN PART-3Download
31Lecture 31 NAIVE BAYESDownload
32Lecture 32 NAIVE BAYES PART-2Download
33Lecture 33 NAIVE BAYES PART-3Download
34Lecture 34 NAIVE BAYES PART-4Download
35Lecture 35 NAIVE BAYES PART-5Download
36Lecture 36 CLASSIFICATION AND REGRESSION TREESDownload
37Lecture 37 CLASSIFICATION AND REGRESSION TREES PART-2Download
38Lecture 38 CLASSIFICATION AND REGRESSION TREES PART-3Download
39Lecture 39 CLASSIFICATION AND REGRESSION TREES PART-4Download
40Lecture 40 CLASSIFICATION AND REGRESSION TREES PART-5Download
41Lecture 41 CLASSIFICATION AND REGRESSION TREES PART-6Download
42Lecture 42 PRUNING PROCESSDownload
43Lecture 43 PRUNING PROCESS PART-2Download
44Lecture 44 PRUNING PROCESS PART-3Download
45Lecture 45 REGRESSION TREESDownload
46Lecture 46 LOGISTIC REGRESSIONDownload
47Lecture 47 LOGISTIC REGRESSION PART-2Download
48Lecture 48 LOGISTIC REGRESSION PART-3Download
49Lecture 49 LOGISTIC REGRESSION PART-4Download
50Lecture 50 LOGISTIC REGRESSION PART-5 Download
51Lecture 51 LOGISTIC REGRESSION PART-6Download
52Lecture 52 LOGISTIC REGRESSION PART-7Download
53Lecture 53 ARTIFICIAL NEURAL NETWORKSDownload
54Lecture 54 ARTIFICIAL NEURAL NETWORK PART-2Download
55Lecture 55 ARTIFICIAL NEURAL NETWORK PART-3Download
56Lecture 56 ARTIFICIAL NEURAL NETWORK PART-4 Download
57Lecture 57 ARTIFICIAL NEURAL NETWORK PART-5Download
58Lecture 58 ARTIFICIAL NEURAL NETWORK PART-6Download
59Lecture 59 DISCRIMINANT ANALYSISDownload
60Lecture 60 DISCRIMINANT ANALYSIS PART-2Download
Sl.No Chapter Name Hindi
1Lecture 1 INTRODUCTIONDownload
2Lecture 2 DATA MINING PROCESSDownload
3Lecture 3 INTRODUCTION TO RDownload
4Lecture 4 BASIC STATISTICSDownload
5Lecture 5 BASIC STATISTICS PART-2Download
6Lecture 6 PARTITIONING PROCESSDownload
7Lecture 7 VISUALIZATION TECHNIQUESDownload
8Lecture 8 VISUALIZATION TECHNIQUES PART-2Download
9Lecture 9 VISUALIZATION TECHNIQUES PART-3Download
10Lecture 10 VISUALIZATION TECHNIQUES PART-4Download
11Lecture 11 VISUALIZATION TECHNIQUES PART-5Download
12Lecture 12 VISUALIZATION TECHNIQUES PART-6Download
13Lecture 13 DIMENSION REDUCTION TECHNIQUESDownload
14Lecture 14 DIMENSION REDUCTION TECHNIQUES PART-2Download
15Lecture 15 DIMENSION REDUCTION TECHNIQUES PART-3Download
16Lecture 16 PERFORMANCE METRICSDownload
17Lecture 17 PERFORMANCE METRICS PART-2 Download
18Lecture 18 PERFORMANCE METRICS PART-3Download
19Lecture 19 PERFORMANCE METRICS PART-4Download
20Lecture 20 PERFORMANCE METRICS PART-5Download
21Lecture 21 PREDICTION PERFORMANCEDownload
22Lecture 22 MULTIPLE LINEAR REGRESSIONDownload
23Lecture 23 MULTIPLE LINEAR REGRESSION PART-2Download
24Lecture 24 MULTIPLE LINEAR REGRESSION PART-3Download
25Lecture 25 MULTIPLE LINEAR REGRESSION PART-4Download
26Lecture 26 MULTIPLE LINEAR REGRESSION PART-5Download
27Lecture 27 MULTIPLE LINEAR REGRESSION PART-6Download
28Lecture 28 MACHINE LEARNING TECHNIQUE K- NNDownload
29Lecture 29 MACHINE LEARNING TECHNIQUE K- NN PART-2Download
30Lecture 30 MACHINE LEARNING TECHNIQUE K-NN PART-3Download
31Lecture 31 NAIVE BAYESDownload
32Lecture 32 NAIVE BAYES PART-2Download
33Lecture 33 NAIVE BAYES PART-3Download
34Lecture 34 NAIVE BAYES PART-4Download
35Lecture 35 NAIVE BAYES PART-5Download
36Lecture 36 CLASSIFICATION AND REGRESSION TREESDownload
37Lecture 37 CLASSIFICATION AND REGRESSION TREES PART-2Download
38Lecture 38 CLASSIFICATION AND REGRESSION TREES PART-3Download
39Lecture 39 CLASSIFICATION AND REGRESSION TREES PART-4Download
40Lecture 40 CLASSIFICATION AND REGRESSION TREES PART-5Download
41Lecture 41 CLASSIFICATION AND REGRESSION TREES PART-6Download
42Lecture 42 PRUNING PROCESSDownload
43Lecture 43 PRUNING PROCESS PART-2Download
44Lecture 44 PRUNING PROCESS PART-3Download
45Lecture 45 REGRESSION TREESDownload
46Lecture 46 LOGISTIC REGRESSIONDownload
47Lecture 47 LOGISTIC REGRESSION PART-2Download
48Lecture 48 LOGISTIC REGRESSION PART-3Download
49Lecture 49 LOGISTIC REGRESSION PART-4Download
50Lecture 50 LOGISTIC REGRESSION PART-5 Download
51Lecture 51 LOGISTIC REGRESSION PART-6Download
52Lecture 52 LOGISTIC REGRESSION PART-7Download
53Lecture 53 ARTIFICIAL NEURAL NETWORKSDownload
54Lecture 54 ARTIFICIAL NEURAL NETWORK PART-2Download
55Lecture 55 ARTIFICIAL NEURAL NETWORK PART-3Download
56Lecture 56 ARTIFICIAL NEURAL NETWORK PART-4 Download
57Lecture 57 ARTIFICIAL NEURAL NETWORK PART-5Download
58Lecture 58 ARTIFICIAL NEURAL NETWORK PART-6Download
59Lecture 59 DISCRIMINANT ANALYSISDownload
60Lecture 60 DISCRIMINANT ANALYSIS PART-2Download
Sl.No Chapter Name Tamil
1Lecture 1 INTRODUCTIONDownload
2Lecture 2 DATA MINING PROCESSDownload
3Lecture 3 INTRODUCTION TO RDownload
4Lecture 4 BASIC STATISTICSDownload
5Lecture 5 BASIC STATISTICS PART-2Download
6Lecture 6 PARTITIONING PROCESSDownload
7Lecture 7 VISUALIZATION TECHNIQUESDownload
8Lecture 8 VISUALIZATION TECHNIQUES PART-2Download
9Lecture 9 VISUALIZATION TECHNIQUES PART-3Download
10Lecture 10 VISUALIZATION TECHNIQUES PART-4Download
11Lecture 11 VISUALIZATION TECHNIQUES PART-5Download
12Lecture 12 VISUALIZATION TECHNIQUES PART-6Download
13Lecture 13 DIMENSION REDUCTION TECHNIQUESDownload
14Lecture 14 DIMENSION REDUCTION TECHNIQUES PART-2Download
15Lecture 15 DIMENSION REDUCTION TECHNIQUES PART-3Download
16Lecture 16 PERFORMANCE METRICSDownload
17Lecture 17 PERFORMANCE METRICS PART-2 Download
18Lecture 18 PERFORMANCE METRICS PART-3Download
19Lecture 19 PERFORMANCE METRICS PART-4Download
20Lecture 20 PERFORMANCE METRICS PART-5Download
21Lecture 21 PREDICTION PERFORMANCEDownload
22Lecture 22 MULTIPLE LINEAR REGRESSIONDownload
23Lecture 23 MULTIPLE LINEAR REGRESSION PART-2Download
24Lecture 24 MULTIPLE LINEAR REGRESSION PART-3Download
25Lecture 25 MULTIPLE LINEAR REGRESSION PART-4Download
26Lecture 26 MULTIPLE LINEAR REGRESSION PART-5Download
27Lecture 27 MULTIPLE LINEAR REGRESSION PART-6Download
28Lecture 28 MACHINE LEARNING TECHNIQUE K- NNDownload
29Lecture 29 MACHINE LEARNING TECHNIQUE K- NN PART-2Download
30Lecture 30 MACHINE LEARNING TECHNIQUE K-NN PART-3Download
31Lecture 31 NAIVE BAYESDownload
32Lecture 32 NAIVE BAYES PART-2Download
33Lecture 33 NAIVE BAYES PART-3Download
34Lecture 34 NAIVE BAYES PART-4Download
35Lecture 35 NAIVE BAYES PART-5Download
36Lecture 36 CLASSIFICATION AND REGRESSION TREESDownload
37Lecture 37 CLASSIFICATION AND REGRESSION TREES PART-2Download
38Lecture 38 CLASSIFICATION AND REGRESSION TREES PART-3Download
39Lecture 39 CLASSIFICATION AND REGRESSION TREES PART-4Download
40Lecture 40 CLASSIFICATION AND REGRESSION TREES PART-5Download
41Lecture 41 CLASSIFICATION AND REGRESSION TREES PART-6Download
42Lecture 42 PRUNING PROCESSDownload
43Lecture 43 PRUNING PROCESS PART-2Download
44Lecture 44 PRUNING PROCESS PART-3Download
45Lecture 45 REGRESSION TREESDownload
46Lecture 46 LOGISTIC REGRESSIONDownload
47Lecture 47 LOGISTIC REGRESSION PART-2Download
48Lecture 48 LOGISTIC REGRESSION PART-3Download
49Lecture 49 LOGISTIC REGRESSION PART-4Download
50Lecture 50 LOGISTIC REGRESSION PART-5 Download
51Lecture 51 LOGISTIC REGRESSION PART-6Download
52Lecture 52 LOGISTIC REGRESSION PART-7Download
53Lecture 53 ARTIFICIAL NEURAL NETWORKSDownload
54Lecture 54 ARTIFICIAL NEURAL NETWORK PART-2Download
55Lecture 55 ARTIFICIAL NEURAL NETWORK PART-3Download
56Lecture 56 ARTIFICIAL NEURAL NETWORK PART-4 Download
57Lecture 57 ARTIFICIAL NEURAL NETWORK PART-5Download
58Lecture 58 ARTIFICIAL NEURAL NETWORK PART-6Download
59Lecture 59 DISCRIMINANT ANALYSISDownload
60Lecture 60 DISCRIMINANT ANALYSIS PART-2Download


Sl.No Language Book link
1EnglishDownload
2BengaliNot Available
3GujaratiDownload
4HindiDownload
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilDownload
9TeluguNot Available