Decision tree model

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学習するスキル

Artificial Neural Network, Xgboost, Tensorflow, Tree Ensembles, Advice for Model Development

レビュー

4.9 (320 件の評価)

  • 5 stars
    91.25%
  • 4 stars
    8.12%
  • 2 stars
    0.31%
  • 1 star
    0.31%

MM

2022年6月22日

Excellent course, although it would have been good to talk more about backward propagation, after finishing this course this is the only point that is left unclear in my mind.

WH

2022年6月18日

An excellent update to the previous Machine Learning course. Goes into excellent detail about each algorithm and the practical notebooks are useful and easy to follow.

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Decision trees

This week, you'll learn about a practical and very commonly used learning algorithm the decision tree. You'll also learn about variations of the decision tree, including random forests and boosted trees (XGBoost).

講師

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    Andrew Ng

    Instructor

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    Eddy Shyu

    Curriculum Architect

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    Aarti Bagul

    Curriculum Engineer

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    Geoff Ladwig

    Curriculum Engineer

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