Using one-hot encoding of categorical features

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강의 계획표 보기

배우게 될 기술

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

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4.9개(808개 평가)

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SM

2022년 8월 5일

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

2022년 7월 29일

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.

수업에서

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).

강사:

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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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