07:10

4.6 DBSCAN Clustering (6:57)

04:00

4.3 More on k-Means (3:47)

09:56

4.2 K-Means Clustering (9:43)

08:15

4.1 Intro to Clustering (8:01)

09:05

3.9 Support Vector Machine (8:52)

14:04

3.8 Logistic Regression - Training (13:50) (Option)

15:44

3.7 Logistic Regression vs Linear Regression (15:30)

08:09

3.6 Intro to Logistic Regression (7:55)

10:50

3.5 Building Decision Trees (10:37)

04:15

3.4 Intro to Decision Trees (4:02)

07:22

3.3 Evaluation Metrics in Classification (7:09)

09:25

3.2 K-Nearest Neighbors (9:12)

04:07

3.1 Intro to Classification (3:53)

07:49

2.6 Non-Linear Regression (7:35)

03:19

2.5 Evaluation Metrics in Regression Models (3:06)

08:40

2.4 Model Evaluation in Regression Models (8:27)

13:52

2.3 Multiple Linear Regression (13:39)

13:04

2.2 Simple Linear Regression (12:50)

05:05

2.1 Intro to Regression (4:52)

06:12

1.3 Supervised vs Unsupervised (5:59)

06:23

1.2 Python for Machine Learning (6:10)

09:02

1.1 Intro to Machine Learning (8:49)

03:28

0. Welcome to Machine Learning with Python (3:15)

06:04

4.5 More on Hierarchical Clustering (5:51)

06:31

4.4 Hierarchical Clustering (6:18)

03:48

4.3 More on k-Means (3:47)

09:44

4.2 K-Means Clustering (9:43)

08:02

4.1 Intro to Clustering (8:01)

08:53

3.9 Support Vector Machine (8:52)

13:51

3.8 Logistic Regression - Training (13:50) (Option)

15:31

3.7 Logistic Regression vs Linear Regression (15:30)

07:56

3.6 Intro to Logistic Regression (7:55)

06:11

1.2 Python for Machine Learning (6:10)

10:37

3.5 Building Decision Trees (10:37)

04:02

3.4 Intro to Decision Trees (4:02)

07:09

3.3 Evaluation Metrics in Classification (7:09)

09:13

3.2 K-Nearest Neighbors (9:12)

03:54

3.1 Intro to Classification (3:53)

07:36

2.6 Non-Linear Regression (7:35)

03:07

2.5 Evaluation Metrics in Regression Models (3:06)

08:28

2.4 Model Evaluation in Regression Models (8:27)

13:40

2.3 Multiple Linear Regression (13:39)

12:51

2.2 Simple Linear Regression (12:50)

04:53

2.1 Intro to Regression (4:52)

06:00

1.3 Supervised vs Unsupervised (5:59)

06:11

1.2 Python for Machine Learning (6:10)

08:50

1.1 Intro to Machine Learning (8:49)

03:16

0. Welcome to Machine Learning with Python (3:15)

12:51

2.2 Simple Linear Regression (12:50)

04:53

2.1 Intro to Regression (4:52)

06:11

1.2 Python for Machine Learning (6:10)

06:00

1.3 Supervised vs Unsupervised (5:59)

08:50

1.1 Intro to Machine Learning (8:49)

03:16

0. Welcome to ML with Python (3:15)

31:43

2022T TTNT 11 N2 Machine Learning P3

19:20

2022T TTNT 11 N8 Machine Learning P3

20:14

2022T TTNT 10 Nhóm 1 Machine Learning P3

27:43

2022T TTNT 11 N5 Machine Learning P3

17:48

2022T TTNT 11 N8 Machine Learning P2

18:07

2022T TTNT 11 N1 Machine Learning P2