K - Nearest Neighbors - Machine Learning 101 (Part 3)

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This video is an introduction to K - Nearest Neighbors (KNN) algorithm in Machine Learning.

This video series is a Machine Learning tutorial for beginners. It includes several methods and algorithms that you can use in your machine learning projects.

❔Answers to
↪︎ What is K Nearest Neighbors algorithm?
↪︎ How is it working in theory and practice?
↪︎ How should we choose the value K?
↪︎ What are the advantages and disadvantages of KNN?

⌚ Content:
↪︎ 0:00 - Intro
↪︎ 0:38 - Review of classification
↪︎ 1:23 - Introduction to K Nearest Neighbors
↪︎ 2:50 - Illustration of how KNN algorithm works
↪︎ 4:25 - How to choose parameter K
↪︎ 5:39 - Pros and cons of using KNN

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