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Linkedin Learning Machine Learning With Python-Logistic Regression
磁力链接/BT种子名称
Linkedin Learning Machine Learning With Python-Logistic Regression
磁力链接/BT种子简介
种子哈希:
a393f3213bb1037bd1d8bca75d1dfe69e68e09af
文件大小:
219.41M
已经下载:
829
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极快
收录时间:
2024-08-24
最近下载:
2024-11-10
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文件列表
4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4
39.8 MB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4
29.9 MB
1. Introduction/4. Using GitHub Codespaces with this course.mp4
22.8 MB
4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4
22.0 MB
4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4
18.7 MB
2. Regression/3. Common types of regression.mp4
14.9 MB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.mp4
14.8 MB
3. Logistic Regression/2. Making predictions with logistic regression.mp4
14.1 MB
3. Logistic Regression/1. What is logistic regression.mp4
11.6 MB
2. Regression/1. What is regression.mp4
9.8 MB
2. Regression/2. The anatomy of a regression model.mp4
9.8 MB
1. Introduction/3. Using the exercise files.mp4
5.2 MB
3. Logistic Regression/4. Why and when to use logistic regression.mp4
4.8 MB
5. Conclusion/1. Next steps.mp4
4.4 MB
1. Introduction/1. Classifying data with logistic regression.mp4
4.4 MB
1. Introduction/2. What you should know.mp4
2.9 MB
4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt
17.5 kB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt
11.8 kB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.srt
10.0 kB
1. Introduction/4. Using GitHub Codespaces with this course.srt
9.1 kB
4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.srt
8.7 kB
2. Regression/3. Common types of regression.srt
8.0 kB
3. Logistic Regression/1. What is logistic regression.srt
7.8 kB
4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.srt
7.8 kB
3. Logistic Regression/2. Making predictions with logistic regression.srt
6.7 kB
2. Regression/2. The anatomy of a regression model.srt
6.0 kB
2. Regression/1. What is regression.srt
5.0 kB
5. Conclusion/1. Next steps.srt
3.1 kB
3. Logistic Regression/4. Why and when to use logistic regression.srt
2.7 kB
1. Introduction/3. Using the exercise files.srt
2.1 kB
1. Introduction/2. What you should know.srt
1.9 kB
1. Introduction/1. Classifying data with logistic regression.srt
1.7 kB
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