Multiple Features

Loading...
View Syllabus

Skills You'll Learn

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

Reviews

4.9 (151,458 ratings)
  • 5 stars
    92.47%
  • 4 stars
    6.88%
  • 3 stars
    0.45%
  • 2 stars
    0.07%
  • 1 star
    0.10%
MS
Jan 24, 2020

Perfect foundational overview of the topic with challenging exercises, at least for someone who left university over 20 years ago and has since then not done much with his skills in Linear Algebra ;-)

OK
Apr 17, 2018

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

From the lesson
Linear Regression with Multiple Variables
What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

Taught By

  • Placeholder

    Andrew Ng

    Instructor

Explore our Catalog

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