K-Nearest Neighbors Algorithm In Machine Learning | Machine Learning Tutorials | AlmaBetter

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In this video, you will learn all about the K-Nearest Neighbors Algorithm in Machine Learning. We will cover the basics of this popular supervised learning algorithm, including how it works, its pros and cons, and real-world use cases.

You will also discover essential tools and techniques used to implement KNN, such as distance metrics, feature selection, and cross-validation. Whether you are new to machine learning or looking to expand your knowledge, this video is for you.

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