K-means in Machine Learning: Easy Explanation for Data Science Interviews

K-Means is one of the most popular machine learning algorithms you’ll encounter in data science interviews. In this video, I’ll explain what k-means clustering is, how to select the “k” in k-means, show you how to implement k-means from scratch, and go over the main pros and cons of this method.


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Contents of this video:
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00:00 Introduction
00:40 K-means Algorithm
00:54 4-Step Algorithm
02:37 Objective Function
03:20 Elbow Method
04:41 Silhouette Coefficient
07:12 Pros and Cons