This tutorial provides a hands-on guide to implementing the K Nearest Neighbours (K&N) algorithm using Google Collab. It covers the basics of using Google Collab, explores a Titanic passenger data set, and walks through data preprocessing steps. The video demonstrates training a K&N model, evaluating its accuracy, and visualizing results using PCA. It also discusses optimizing the number of neighbors for better accuracy.

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