Decision tree model

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您将学习的技能

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

审阅

4.9(778 个评分)

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  • 4 stars
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SM

Aug 5, 2022

The course was fantastic! I really enjoyed every part, every video, every quiz, every optional lab, every assignment of the course. It was a pretty memorable ride to have come this far.

BS

Jul 29, 2022

This course is even better and more accessible in this new format. This instance is quite complicated, requires some good python/numpy knowledge but the math is not so overwhelming.

从本节课中

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).

教学方

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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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