Libraries in Python For AI,ML & Data Science
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3:47:01
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1. Course Introduction.mp4
02:03
1.1 16212536.zip
1. Section Introduction.mp4
01:13
2. Numpy.mp4
16:32
3. Pandas.mp4
17:50
4. Summary.mp4
00:50
5. Quiz.html
1.1 16212535.zip
1. Section Introduction.mp4
01:03
2. Matplotlib.mp4
10:08
3. Seaborn.mp4
11:26
4. Summary.mp4
00:41
5. Quiz.html
1. Section Introduction.mp4
01:07
2. SciPy.mp4
14:36
3. Scikit-Learn - Standardization and Normalization.mp4
10:46
4. Scikit-Learn - Encode Categorical Features and Fill Missing Values.mp4
20:41
5. Scikit-Learn - Load and Explore the Iris data.mp4
11:39
6. Scikit-Learn - Build Your First Model.mp4
18:23
7. Scikit-Learn - Construct an Supervised Model.mp4
16:58
8. Summary.mp4
00:53
9. Quiz.html
1.1 16214288.zip
1. Section Introduction.mp4
01:22
2. Steps of Data Exploration and Preparation - 1.mp4
12:43
3. Steps of Data Exploration and Preparation - 2.mp4
19:32
4. Implement Data Exploratory Analysis - 1.mp4
14:31
5. Implement Data Exploratory Analysis - 2.mp4
20:16
6. Summary.mp4
01:48
7. Quiz.html
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Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 23
- duration 3:47:01
- English subtitles has
- Release Date 2024/04/27
