Linear regression model part 2

video-placeholder
Loading...
View Syllabus

Skills You'll Learn

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

Reviews

4.9 (3,772 ratings)

  • 5 stars
    91.51%
  • 4 stars
    7.71%
  • 3 stars
    0.47%
  • 2 stars
    0.13%
  • 1 star
    0.15%

KY

Sep 8, 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.

SP

Sep 3, 2022

The starter code for the third assignment was a little deceiving. I coded it using np.dot() instead of a for loop and I feel my method would be useful in some cases as that's how the notation is.

From the lesson

Week 1: Introduction to Machine Learning

Taught By

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Eddy Shyu

    Curriculum Architect

  • Placeholder

    Aarti Bagul

    Curriculum Engineer

  • Placeholder

    Geoff Ladwig

    Curriculum Engineer

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.