- In order to get a general understanding, read An Introduction to Statistical Learning chapter 4 up to section 4.3 inclusive. Dive into section 4.4 if you dare (optional).
- Review the related sklearn facilities usage (logistic regression).
- Study the Classification section of the Google Machine Learning Crash Course (skip the Programming Exercise as it's not relevant for our course purposes).
- Read about kNN.
- Review the related sklearn facilities usage (KNN).
- Read this article for an extended overview of the ways to evaluate classification models.
- Read Imbalanced classification approaches overview.
- Optional. Read KNN notes - KNN explanation including computational performance analysis.
5_classification_linear_knn
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