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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:

Mathematics

Machine Learning

Probability & Statistics

Regression

General Statistics

INSTRUCTOR

Course Instructor PhotoAmit Yadav
Machine Learning Instructor
Machine Learning

 
  • Linear Regression with Python
  • Fee: $59.00
    Item Number: 2021CSR81601
    Dates: 7/1/2021 - 6/30/2023
    Times: 12:00 AM - 12:00 AM
    Days:
    Sessions: 0
    Building:
    Room:
    Instructor: Professional Development
    REGISTRATION FOR THIS CLASS IS CLOSED. This class is already in session.
 

  • Linear Regression with Python
  • Fee: $59.00
    Item Number: 2022CSR81601
    Dates: 7/1/2022 - 6/30/2023
    Times: 12:00 AM - 12:00 AM
    Days:
    Sessions: 0
    Building:
    Room:
    Instructor:
    REGISTRATION FOR THIS CLASS IS CLOSED. This class is already in session.