🗓️ Week 04 - Classification

Theme: Supervised Learning

Welcome to the fourth week of this course!

This week is again about classification.

We review logistic regression, introduce classification with K-NN and discover some of the metrics used to evaluate classification models.

Your formative is due this week on Feb 13th at 5pm.

👩🏻‍🏫 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 (and the holes in the notebook are on purpose!):

Download this week’s data here:

Update after lecture:

Download the fully annotated notebook below:

(and in case the images in the \(K\)-NN part don’t show up, you can download them below: )