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

[@emma_ding]

Many of you have asked me to share my presentation notes, and now… I have them for you! Download all the PDFs of my Notion pages at www.emmading.com/get-all-my-free-resources. Enjoy!

[@lyphuong3344]

Thank you for your note

[@kaanonderofficial]

Very good explanation Emma! Can"t wait for more .. :)

[@emma_ding]

Thanks for your support! 😊

[@sirusfalcony]

Thank you Emma, very crisp explanation! ^_^

[@modoulaminceesay9211]

whast the note taking app used its very good

[@marxcerqueira]

I believe it's the Notion

[@emma_ding]

Yes! I'm using Notion here. 😊

[@emmafan713]

@@emma_ding hey Emma can u also share the notion link? Thanks so much !

[@emma_ding]

Of course! I'm working on getting all notes organized and sharable in one location, will let you know as soon as they are ready! :)

[@onyinkwaonyinkwa7083]

you are truly a good explainer