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 review 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.
A homework formative about supervised learning techniques, in particular model evaluation and comparison as well as resampling (solutions released at the beginning of week 7) will be released this week. Itβs a good preparation for your first summative, also released this week and due on Week 08! Stay tuned.
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