From Theory to Practice: Building a k-Nearest Neighbors Classifier

Author: Dr. Robert Kübler

The k-Nearest Neighbors Classifier is a machine learning algorithm that assigns a new data point to the most common class among its k closest neighbors. In this tutorial, you will learn the basic steps of building and applying this classifier in Python.

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