Continuous valued features

video-placeholder
Loading...
Visualiser le programme de cours

Compétences que vous apprendrez

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

Avis

4.9 (808 évaluations)

  • 5 stars
    92,57 %
  • 4 stars
    6,55 %
  • 3 stars
    0,37 %
  • 2 stars
    0,24 %
  • 1 star
    0,24 %

SM

5 août 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

29 juil. 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.

À partir de la leçon

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).

Enseigné par

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Eddy Shyu

    Curriculum Architect

  • Placeholder

    Aarti Bagul

    Curriculum Engineer

  • Placeholder

    Geoff Ladwig

    Curriculum Engineer

Explorer notre catalogue

Rejoignez-nous gratuitement et obtenez des recommendations, des mises à jour et des offres personnalisées.