Print Course information
Email to a friend
Return to Course Catalog

Course Catalog

Linear Regression with Python   

ABOUT THIS COURSE

In this 2-hour long project-based course, you will learn how to implement Linear Regression using Python and Numpy. Linear Regression is an important, fundamental concept if you want break into Machine Learning and Deep Learning. Even though popular machine learning frameworks have implementations of linear regression available, it's still a great idea to learn to implement it on your own to understand the mechanics of optimization algorithm, and the training process.

Since this is a practical, project-based course, you will need to have a theoretical understanding of linear regression, and gradient descent. We will focus on the practical aspect of implementing linear regression with gradient descent, but not on the theoretical aspect.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Difficulty Level: INTERMEDIATE

Estimated Learning Time:  1 hours

SKILLS YOU WILL GAIN:

Computer Programming

Deep Learning

Mathematics

Machine Learning

Operating Systems

Probability & Statistics

General Statistics

Theoretical Computer Science

INSTRUCTOR

Course Instructor PhotoAmit Yadav
Machine Learning Instructor
Machine Learning

 

  • Linear Regression with Python
  • Fee: $59.00
 

If you are thinking of taking more than one course, the subscription option may be more beneficial.
After payment, you will receive a separate email, usually within one business day, that will include instructions on how to access the course.


- Single course access (generally 30 days with option to extend if needed)
- 3-month subscription to online learning catalog - $199.00
- 12-month subscription to online learning catalog - $499.00

3-Month Subscription 1-Year Subscription