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Artificial Intelligence
First Section
Data Science Artifitical Intelligence
1.Statistics Basics (12:26)
2.Descriptive Statistics (33:00)
3.Artificial Intelligence Basics (17:11)
4.DataScience Lifecycle (28:11)
5.Introduction to Python (127:44)
6.Numpy (87:57)
7.Pandas Part 4.1 (70:30)
8.Pandas Part 4.2 (82:46)
9.Machine Learning Basics (36:51)
10.Linear Regression (25:20)
11.Usecase1 Linear Regression (28:59)
12.Linear Regression Usecase2 (27:17)
13.Logistic Regression (14:14)
14.Logistic Regression Usecase1 (55:43)
15.Logistic Regression UseCase2 (23:17)
16.Introduction To KNN Algorithm (9:45)
17.KNN Usecase 1 (24:20)
18.KNN Usecase 2 (17:28)
19.Introduction To DecisionTrees And RandomForests Part 1 (11:41)
20.Understanding DecisionTrees And RandomForests part 2 (25:16)
21.DecisionTrees And RandomForests Part 3 (45:52)
22.Cluster Analysis Basics Part 1 (10:44)
23.Cluster Analysis Basics Mathematics Part 2 (6:41)
24.Data Visualization with matplotlib Part 1 (55:29)
25.Data Visualization with matplotlib Part 2 (23:45)
17.KNN Usecase 1
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