Supervised Machine Learning: Regression

Supervised Machine Learning: Regression: Overview & Verdict

This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques. By the end of this course you should be able to: Differentiate uses and applications of classification and regression in th

Enrollment through Coursera includes the Q&A thread, where earlier students have already answered most of the questions newcomers run into.

It is taught by IBM, delivered in en — useful context when you are deciding whether Supervised Machine Learning: Regression fits the time you have this week.

What you need before starting

• • A free Coursera account (takes under a minute to create)
• • A laptop, tablet or phone with a stable internet connection
• • Willingness to pause the video and repeat each exercise yourself

About IBM

IBM teaches Supervised Machine Learning: Regression. The lessons follow a consistent structure and the Q&A section stays active, which is a good signal of ongoing support.

Our verdict: For anyone starting out in ai & machine learning, this is the cheapest low-risk way to test whether the subject suits you. Enroll now even if you plan to start later — access stays with your account after the coupon expires.