Machine Learning Profits Top 5 Python Machine Learning Libraries You Must Learn In 2021
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2:22:02
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01-python ml libraries course intro.mp4
06:30
02-ml crash course overall blueprint.mp4
05:08
03-machine learning big picture.mp4
02:09
04-tools and requirements for the course 1.mp4
01:50
05-scikit learn introduction.mp4
07:58
06-pre processing intro and standard scaler method.mp4
10:01
07-feature encoding methods.mp4
08:48
08-pre processing normalization.mp4
02:38
09-dimensionality reduction intro.mp4
01:48
10-dimensionality reduction using pca.mp4
04:02
11-advanced1 model selection grid search method implementation.mp4
11:33
12-model selection using optimization introduction.mp4
03:12
13-supervised ml intro.mp4
02:36
14-supervised ml based model.mp4
08:03
15-unsupervised learning model intro.mp4
03:02
16-k means clustering implementation.mp4
07:11
17-scikit learn exercise.mp4
01:55
18-scikit learn exercise solution walkthrough.mp4
05:07
19-scikit learn exercise 2.mp4
00:42
20-scikit learn exercise 2 solution code walk through.mp4
03:23
21-scikit learn course summary.mp4
03:09
22-mlxtend course intro.mp4
01:54
23-mlxtend api overview.mp4
02:04
24-mlxtend api importing steps.mp4
02:43
25-mlxtend classifer model building steps.mp4
03:03
26-mlxtend classifier code demo.mp4
04:00
27-mlxtend math api demo codes.mp4
03:26
28-mlxtend math api.mp4
01:08
29-mlxtend regressor model steps.mp4
02:17
30-mlxtend regressor model code demo.mp4
03:26
31-mlxtend plotting api.mp4
01:56
32-mlxtend plotting code walk thru.mp4
02:19
33-mlxtend feature selection method steps.mp4
03:45
34-mlxtend exercise tasks.mp4
01:42
35-mlxtend exercise solution walk thru step by step.mp4
03:01
36-mlxtend exercise 2.mp4
00:38
37-mlxend exercise2 solution code walk thru.mp4
02:13
38-mlxtend summary.mp4
01:42
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SkillShare
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- language english
- Training sessions 38
- duration 2:22:02
- Release Date 2024/03/07