Logistic regression

video-placeholder
Loading...
Lehrplan anzeigen

Kompetenzen, die Sie erwerben

Regularization to Avoid Overfitting, Gradient Descent, Supervised Learning, Linear Regression, Logistic Regression for Classification

Bewertungen

4.9 (3,990 Bewertungen)

  • 5 stars
    91,32 %
  • 4 stars
    7,79 %
  • 3 stars
    0,55 %
  • 2 stars
    0,12 %
  • 1 star
    0,20 %

KY

8. Sep. 2022

Professor Andrew can explain complex knowledge clearly. The Python lab can help learner to understand algorithm. The course is more valuable. I am excited to learn the next course for advanced ML.

YD

2. Okt. 2022

Excellent course. Intended as a refresher, and had a better understanding of feauture engineering, scaling, and logistic regression. Good hands on labs were very practical, engaging and rewarding.

Aus der Unterrichtseinheit

Week 3: Classification

Unterrichtet von

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Eddy Shyu

    Curriculum Architect

  • Placeholder

    Aarti Bagul

    Curriculum Engineer

  • Placeholder

    Geoff Ladwig

    Curriculum Engineer

Durchsuchen Sie unseren Katalog

Melden Sie sich kostenlos an und erhalten Sie individuelle Empfehlungen, Aktualisierungen und Angebote.