XGBoost

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Получаемые навыки

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

Рецензии

4.9 (оценок: 835)

  • 5 stars
    92,57 %
  • 4 stars
    6,46 %
  • 3 stars
    0,47 %
  • 2 stars
    0,23 %
  • 1 star
    0,23 %

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.

SB

28 сент. 2022 г.

Best course for beginners and it helped me immensely to learn new things in Neural Networks, DecisionTree, and What is the problem related to the Model overfitting and underfitting.

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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