πŸ—“οΈ Week 04 - Fundamentals of Classification

Theme: Supervised learning

Author

This week in the lab, you will learn a bit more about data pre-processing with the recipes and workflows package, all part of the tidymodels ecosystem. You will later use those skills in more advanced machine learning exercises.

Make sure you dedicate some time to work on the πŸ“ W04 Summative before the deadline, on Thursday, 19 October, 2023. Then come to the lecture on Friday for an overview of other linear regression metrics as well as to learn about Classification algorithms (Logistic Regression, Naive Bayes, and others).

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, download the .qmd notebook below to follow along: