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Data Mining - IITKGP
Data Mining | Data Mining - IITKGP
Data Mining - IITKGP
Course Details
Course Lessons
36
Course Period
15h 56m
No.Students
5
Language
English
Prerequisite
Data Warehouse (DWH)
(
2)
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Course Lessons
1 |
Lecture 1 Introduction, Knowledge Discovery Process
00:23:12
2 |
Lecture 2 Data Preprocessing - I
00:36:13
3 |
Lecture 3 Data Preprocessing - II
00:26:19
4 |
Lecture 4 Association Rules
00:27:27
5 |
Lecture 5 Apriori algorithm
00:27:01
6 |
Lecture 6 : Rule generation
00:22:57
7 |
Lecture 7 : Classification
00:10:56
8 |
Lecture 8 : Decision Tree - I
00:31:57
9 |
Lecture 9 : Decision Tree - II
00:27:16
10 |
Lecture 10 : Decision Tree III
00:29:21
11 |
Lecture 11 : Decision Tree IV
00:11:06
12 |
Lecture 12 : Bayes Classifier I
00:29:13
13 |
Lecture 13 : Bayes Classifier II
00:30:46
14 |
Lecture 14 : Bayes Classifier III
00:29:25
15 |
Lecture 15 : Bayes Classifier IV
00:25:12
16 |
Lecture 16 : Bayes Classifier V
00:26:09
17 |
Lecture 17 : K Nearest Neighbor I
00:29:38
18 |
Lecture 18 : K Nearest Neighbor II
00:24:44
19 |
Lecture 19 :
00:29:49
20 |
Lecture 20
00:26:55
21 |
Lecture 21
00:24:27
22 |
Lecture 22 : Support Vector Machine I
00:24:35
23 |
Lecture 23 : Support Vector Machine II
00:23:20
24 |
Lecture 24 : Support Vector Machine III
00:27:39
25 |
Lecture 25 : Support Vector Machine IV
00:30:09
26 |
Lecture 26 : Support Vector Machine V
00:28:11
27 |
Lecture 27: Kernel Machines
00:28:52
28 |
Lecture 28: Artificial Neural Networks I
00:27:06
29 |
Lecture 29:Artificial Neural Networks II
00:25:57
30 |
Lecture 30: Artificial Neural Networks III
00:28:40
31 |
Lecture 31: Artificial Neural Networks IV
00:28:28
32 |
Lecture 32: Clustering I
00:26:58
33 |
Lecture 33: Clustering II
00:27:20
34 |
Lecture 34: Clustering III
00:27:25
35 |
Lecture 35: Clustering IV
00:26:25
36 |
Lecture 36: Clustering V
00:25:03
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Ahmad Abed
21-10-2024
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Youtube
02-07-2024
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