Using one-hot encoding of categorical features

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Получаемые навыки

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

Рецензии

4.9 (оценок: 835)

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SD

8 июля 2022 г.

Great course! and according to me, the ML roadmap that best matches the one I thought to approach the ML topic based on all my experiences. So I recommend this course of Andrew to everyone.

SM

5 авг. 2022 г.

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.

Из урока

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).

Преподаватели

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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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