πŸ—“οΈ Week 03 - Introduction to Linear Regression

Theme: Supervised Learning

Author

Dr Jon Cardoso-Silva

This week, you’ll be introduced to our first set of algorithms: linear regression models. While you’re at it, don’t forget to work on your ✏️ Formative 01, due Thursday, 12 October.

In the labs, we’ll start with the basics using R’s lm command - some of you might already be familiar with it. After that, we’ll transition to tidymodels, the Machine Learning package we will use the most in this course.

If you have questions remaining after the lab, it would make my day if you were to type them on Slack. But also feel free to bring them to Friday’s lecture, where we’ll formally introduce linear regression algorithms.

πŸ‘¨β€πŸ« Lecture Slides

Either click on the slide area below or click here to view it in fullscreen. Use your keypad to navigate the slides.

πŸŽ₯ Looking for lecture recordings? You can only find those on Moodle.