Linkedin Learning Machine Learning With Python-Logistic Regression

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文件数目:32个文件
文件大小:219.41 MB
收录时间:2026-03-17
访问次数:3
相关内容:LinkedinLearningMachineWithPython-LogisticRegression
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  • 4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4
    37.92 MB
  • 4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4
    28.52 MB
  • 1. Introduction/4. Using GitHub Codespaces with this course.mp4
    21.73 MB
  • 4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4
    20.98 MB
  • 4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4
    17.84 MB
  • 2. Regression/3. Common types of regression.mp4
    14.21 MB
  • 3. Logistic Regression/3. Interpreting the coefficients of logistic regression.mp4
    14.14 MB
  • 3. Logistic Regression/2. Making predictions with logistic regression.mp4
    13.48 MB
  • 3. Logistic Regression/1. What is logistic regression.mp4
    11.06 MB
  • 2. Regression/1. What is regression.mp4
    9.39 MB
  • 2. Regression/2. The anatomy of a regression model.mp4
    9.38 MB
  • 1. Introduction/3. Using the exercise files.mp4
    4.98 MB
  • 3. Logistic Regression/4. Why and when to use logistic regression.mp4
    4.54 MB
  • 5. Conclusion/1. Next steps.mp4
    4.23 MB
  • 1. Introduction/1. Classifying data with logistic regression.mp4
    4.18 MB
  • 1. Introduction/2. What you should know.mp4
    2.72 MB
  • 4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt
    17.12 KB
  • 4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt
    11.52 KB
  • 3. Logistic Regression/3. Interpreting the coefficients of logistic regression.srt
    9.81 KB
  • 1. Introduction/4. Using GitHub Codespaces with this course.srt
    8.93 KB
  • 4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.srt
    8.49 KB
  • 2. Regression/3. Common types of regression.srt
    7.83 KB
  • 3. Logistic Regression/1. What is logistic regression.srt
    7.6 KB
  • 4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.srt
    7.58 KB
  • 3. Logistic Regression/2. Making predictions with logistic regression.srt
    6.54 KB
  • 2. Regression/2. The anatomy of a regression model.srt
    5.9 KB
  • 2. Regression/1. What is regression.srt
    4.9 KB
  • 5. Conclusion/1. Next steps.srt
    3.07 KB
  • 3. Logistic Regression/4. Why and when to use logistic regression.srt
    2.63 KB
  • 1. Introduction/3. Using the exercise files.srt
    2.09 KB
  • 1. Introduction/2. What you should know.srt
    1.85 KB
  • 1. Introduction/1. Classifying data with logistic regression.srt
    1.61 KB
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