Multiple Features

video-placeholder
Loading...
View Syllabus

Skills You'll Learn

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

Reviews

4.9 (160,809 ratings)
  • 5 stars
    92.41%
  • 4 stars
    6.90%
  • 3 stars
    0.46%
  • 2 stars
    0.08%
  • 1 star
    0.12%
AB
Aug 30, 2020

A brilliant sequence of topics and fundamentals to get a stronghold on ML . The learnings I obtained from this course will always be my guiding factor in working through the projects in my life ahead.

AA
Nov 10, 2017

Great teaching style , Presentation is lucid, Assignments are at right difficulty level for the beginners to get an under the hood understanding without getting bogged down by the superfluous details.

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.