🗓️ Week 03 - Fundamentals of Classification

Theme: Supervised Learning

Author

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

There will also be some homework to prepare for week 4’s lab. Stay tuned!

👩🏻‍🏫 Lecture Material

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Material

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

And here is an updated version of last week’s World Bank dataset: