Скачать или смотреть Lecture 63: Machine Learning: KNN with Python Part02

In this video, we explore the K-Nearest Neighbors (KNN) algorithm and how to implement it using Python and scikit-learn. KNN is a simple yet powerful supervised learning algorithm used for both classification and regression tasks. We’ll walk you through the process of loading a dataset, preprocessing the data, training the KNN classifier, and evaluating its performance. By the end of this tutorial, you'll be equipped with the knowledge to apply KNN to real-world datasets and understand its strengths and limitations.

This is the part02 of the video. It has two parts. The first part is in Lecture 62.

The link for folder containing all the KNN codes and datasets can be found in the comments

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