ποΈ Week 5: Non-linear algorithms and ensemble methods
Theme: Supervised Learning
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Welcome to the fifth week of this course!
This week, we wrap up our exploration of supervised learning techniques with some non-linear (classification) algorithms such as decision trees, random forests and support vector machines. Weβll also see how a procedure called cross-validation (which is a resampling technique) can be used to more robustly evaluate our models and to set their hyperparameters.
Your second formative about supervised learning techniques, in particular model evaluation and comparison as well as resampling, (due at the beginning of week 7) will also be announced and released this week! Stay tuned.
π©π»βπ« Lecture Material
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Download the Quarto markdown file for this lecture:
Download the main dataset used for this lecture: