πŸ—“οΈ Week 04 - Resampling methods

Theme: Supervised Learning

Author

Dr. Ghita Berrada

Note

I updated the lecture qmd after the lecture to fix a few formatting issues. To see the properly formatted file, download the qmd again…

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.

We’ll also learn about how to sample multiple training and test sets from the same data, something called resampling.

Your formative is due this week on Oct 23rd at 5pm.

πŸ‘©πŸ»β€πŸ« Lecture Material

πŸŽ₯ 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 πŸ“§ .

Material

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