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

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种子哈希：a393f3213bb1037bd1d8bca75d1dfe69e68e09af
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已经下载：3479次
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收录时间：2024-08-24
最近下载：2026-04-17
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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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