The Train-Test Split

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.

If you have any feedback relating to this lesson, please contact us at support@cloudacademy.com.