Linkedin Learning Machine Learning With Python-Decision Trees

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文件数目:40个文件
文件大小:204.87 MB
收录时间:2026-03-18
访问次数:2
相关内容:LinkedinLearningMachineWithPython-DecisionTrees
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  • 4. Working with Regression Trees/1. How to build a regression tree in Python.mp4
    22.81 MB
  • 2. Decision Trees/5. How to prune a decision tree.mp4
    20.23 MB
  • 4. Working with Regression Trees/3. How to prune a regression tree in Python.mp4
    17.88 MB
  • 3. Working with Classification Trees/1. How to build a classification tree in Python.mp4
    17.78 MB
  • 2. Decision Trees/3. How do classification trees measure impurity.mp4
    15.35 MB
  • 2. Decision Trees/2. How is a classification tree built.mp4
    14.73 MB
  • 2. Decision Trees/4. How is a regression tree built.mp4
    14.41 MB
  • 3. Working with Classification Trees/3. How to prune a classification tree in Python.mp4
    14.16 MB
  • 4. Working with Regression Trees/2. How to visualize a regression tree in Python.mp4
    13.4 MB
  • 3. Working with Classification Trees/2. How to visualize a classification tree in Python.mp4
    12.63 MB
  • 2. Decision Trees/1. What is a decision tree.mp4
    12.38 MB
  • 2. Decision Trees/6. Why and when to use a decision tree.mp4
    9.97 MB
  • 1. Introduction/4. Using the exercise files.mp4
    5.23 MB
  • 5. Conclusion/1. Next steps with decision trees.mp4
    4.31 MB
  • 1. Introduction/3. The tools you need.mp4
    3.33 MB
  • 1. Introduction/1. Making decisions with Python.mp4
    3.21 MB
  • 1. Introduction/2. What you should know.mp4
    2.92 MB
  • Exercise Files/03/03e.ipynb
    11.19 KB
  • Exercise Files/03/03b.ipynb
    10.76 KB
  • 4. Working with Regression Trees/1. How to build a regression tree in Python.srt
    10.32 KB
  • 2. Decision Trees/5. How to prune a decision tree.srt
    9.71 KB
  • 2. Decision Trees/2. How is a classification tree built.srt
    9.01 KB
  • Exercise Files/02/02e.ipynb
    8.08 KB
  • 3. Working with Classification Trees/1. How to build a classification tree in Python.srt
    8.07 KB
  • 2. Decision Trees/3. How do classification trees measure impurity.srt
    8.07 KB
  • 4. Working with Regression Trees/3. How to prune a regression tree in Python.srt
    7.68 KB
  • Exercise Files/02/02b.ipynb
    7.58 KB
  • 2. Decision Trees/4. How is a regression tree built.srt
    7.58 KB
  • 4. Working with Regression Trees/2. How to visualize a regression tree in Python.srt
    7.5 KB
  • 3. Working with Classification Trees/3. How to prune a classification tree in Python.srt
    6.74 KB
  • 2. Decision Trees/1. What is a decision tree.srt
    6.54 KB
  • 3. Working with Classification Trees/2. How to visualize a classification tree in Python.srt
    6.07 KB
  • 2. Decision Trees/6. Why and when to use a decision tree.srt
    4.26 KB
  • 5. Conclusion/1. Next steps with decision trees.srt
    2.56 KB
  • 1. Introduction/4. Using the exercise files.srt
    2.48 KB
  • 1. Introduction/3. The tools you need.srt
    1.84 KB
  • 1. Introduction/2. What you should know.srt
    1.76 KB
  • 1. Introduction/1. Making decisions with Python.srt
    1.3 KB
  • Exercise Files/03/income.csv
    575 Bytes
  • Exercise Files/02/loan.csv
    337 Bytes
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