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.
Dr. Robert Kübler is a Senior Data Scientist at METRO.digital and Author at Towards Data Science.
