Practical Linear Regression in R for Data Science in R

Practical Linear Regression in R – Hands–On

This course teaches you about the most common & popular technique used in Data Science & Machine Learning: Linear Regression. You will learn the theory as well as applications of different types of linear regression models. At the end of the course, you will completely understand and know how to apply & implement in R linear models, how to run model’s diagnostics, and how to know if the model is the best fit for your data, how to check the model’s performance and to make predictions.

Linear regression is the simplest machine learning (and thus deep learning) model you can learn, yet there is so much depth that you’ll be returning to it for years to come. That’s why it’s a great introductory course if you’re interested in taking your first steps in the fields of:

machine learning

deep learning

data science

statistics

THIS COURSE HAS 5 SECTIONS COVERING EVERY ASPECT OF LINEAR REGRESSION: BOTH THEORY TO PRACTICE

Fully understand the basics of Machine Learning & Linear Regression Models from theory to practice

Harness applications of linear regression modeling in R

Learn how to apply correctly linear regression models and test them in R