ποΈ Week 02 - Introduction to Linear Regression
Theme: Supervised Learning
This week in the lecture, youβll be introduced to the first family of algorithms in this course: linear regression models. We will also introduce the concept of supervised learning and the main differences between regression and classification problems.
Linear regression is the most fundamental and widely used machine learning algorithm. It is the basis for many other algorithms and the first algorithm you should learn when studying machine learning.
The topic of your formative (due on W04) will be released this week (see this page).
π©π»βπ« Lecture Material
We still partly have slides this week, but our lecture material will fully be in the form of Quarto .qmd files starting next week.
Either click on the slide area below or click here to view it in fullscreen.
Use your keypad to navigate the slides.
Download the datasets and Quarto case study notebook for this week:
π₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you canβt find the recordings, please contact π§ .