Module 3 - Supervised Learning - Part Two

Supervised learning is a core part of machine learning, and something you’ll probably use quite a lot. This lesson is part two of the module on supervised learning. It takes a look at hyperparameters, distance functions, and similarity measures. We’ll wrap up the module with logistic regression, the method and workflow of machine learning and evaluation, and the train-test split.

Part one of supervised learning can be found here and introduces you to supervised learning and the nearest neighbors algorithm.

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