ποΈ Week 04 - Resampling methods
Theme: Supervised Learning
Welcome to the fourth week of this course!
This week in the lab, you will learn 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.
In the lecture, we will talk about how to tweak model parameters and how to sample multiple training and test sets from the same data, something called resampling.
Your first summative is also due this week on Thursday (Feb 8th) at 5pm.
π¨βπ« Lecture Material
π₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you canβt find the recordings, please contact π§ .
Material
This week, we wonβt use slides. Instead, we will use the following Quarto markdown file: