2021 Python for Linear Regression in Machine Learning

This course teaches you an in–depth analysis of Linear Regression. We cover the theory and coding part together for better understanding. You will learn how to do an exhaustive analysis of machine learning models. We will show you result–oriented techniques to boost the accuracy of your machine learning models. This course teaches you everything you need to create an accurate Linear Regression model in Python.

You should have an introductory knowledge of Python before enrolling in this course otherwise please do not enroll in this course.

After completing this course you will be able to:

Interpret and Explain machine learning models which are treated as a black–box

Create an accurate Linear Regression model in python and visually analyze it

Select the best features for a business problem

Remove outliers and variable transformations for better performance

Confidently solve and explain regression problems

What is covered in this course?

This course teaches you, step by step coding for Linear Regression in Python. The Linear Regression model is one of the widely used in machine learning and it is one the simplest ones, yet there is so much depth that we are going to explore in 14+ hours of videos.

Below are the course contents of this course: