Data Transformation and ML Models with Python
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7:46:11
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1. 00 Course Overview.mp4
03:26
1. 00B What Is Python.mp4
04:48
2. 01. Intro To Python.mp4
04:37
1. 00A What Is Machine Learning.mp4
05:26
2. 00B Types Of Machine Learning Models.mp4
12:17
3. 00C What Is Supervised Learning.mp4
11:03
4. 01 How Does A Machine Learning Agent Learn.mp4
07:38
5. 02 What Is Inductive Learning.mp4
04:11
6. 03 Performance Of A Machine Learning Algorithm.mp4
04:14
7. 04 Handle Noise In Data.mp4
05:22
8. 05 Powerful Tools With Machine Learning Libraries-.mp4
12:11
1. 00. Introduction.mp4
04:42
1. 02.01 What is Google Colab.mp4
04:24
2. 02.02 What If I Get Errors.mp4
02:39
3. 02.03 How Do I Terminate a Session.mp4
02:40
1. 02. Variables.mp4
19:17
2. 03. Type Conversion Examples.mp4
10:04
3. 04. Operators.mp4
07:04
4. 05. Operators Examples.mp4
21:52
5. 06. Collections.mp4
21:52
6. 07. Lists.mp4
11:38
7. 08. Multidimensional List Examples.mp4
08:05
8. 09. Tuples Examples.mp4
08:34
9. 10. Dictionaries Examples.mp4
14:24
10. 11. Ranges Examples.mp4
08:30
11. 12. Conditionals.mp4
06:41
12. 13. If Statement Examples.mp4
10:16
13. 14. If Statement Variants Examples.mp4
11:18
14. 15. Loops.mp4
07:00
15. 16. While Loops Examples.mp4
11:30
16. 17. For Loops Examples.mp4
11:18
17. 18. Functions.mp4
07:47
18. 19. Functions Examples.mp4
09:16
19. 20. Parameters And Return Values Examples.mp4
13:46
20. 21. Classes And Objects.mp4
11:13
21. 22. Classes Example.mp4
13:11
22. 23. Objects Examples.mp4
09:54
23. 24. Inheritance Examples.mp4
17:26
24. 25. Static Members Example.mp4
11:03
25. 26. Summary And Outro.mp4
04:06
1. 01 Load And Clean A Public Dataset.mp4
08:55
2. 01B What Is One-Hot Encoding.mp4
10:02
3. 02 Build X And Y Data With One Hot Encoding.mp4
04:57
4. 03 Logistic Regression With One Hot Encoding.mp4
02:20
1. 04 Scale And Encode Data With Scikit-Learn.mp4
03:47
2. 04.04 What Is Scaling Data.mp4
06:36
3. 05 Build, Train And Test A Machine Learning Model.mp4
04:37
1. 01 Compare Decision Tree And Linear Regression Models.mp4
06:26
2. 01C What Is The Kbins Discretizer.mp4
04:54
3. 02 Bin Data With Kbins Discretizer.mp4
03:42
4. 03 Compare Binned Regression Models.mp4
03:39
5. 04 Build A Linear Regression Model On Stacked Data.mp4
03:20
6. 05A What Is K Means Clustering.mp4
11:58
1. 01 Build Univariate Nonlinear Transformation.mp4
01:55
2. 01 What Is Gaussian Probability Distribution-.mp4
02:31
3. 02 Build X Y Data With Poisson Distribution In Numpy.mp4
03:34
4. 02C What Is Logarithmic Data Transformation.mp4
02:34
5. 03 Build A Ridge Regression Model.mp4
03:41
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- language english
- Training sessions 58
- duration 7:46:11
- Release Date 2024/05/19
