🗓️ Week 03 - Fundamentals of Classification

Theme: Supervised Learning

Welcome to Week 3!

This week, we’ll look at classification in more details. Different to regression, where we predict a continuous outcome, classification is used to predict a categorical outcome. For example, we might want to predict whether an email is spam or not (a binary outcome) or the type of animal in a picture (a multi-class outcome).

The main algorithms we will use to cover this foundational topic are logistic regression, which is a type of generalized linear model (GLM).

The topic of your formative (due on W04) will be released this week (after the lecture).

👩🏻‍🏫 Lecture Material

🎥 Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you can’t find the recordings, please contact 📧 .

Material

This week, we won’t use slides. Instead, we will use the following Jupyter notebook file: