K-means in Machine Learning: Easy Explanation for Data Science Interviews
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- Опубліковано 27 чер 2024
- 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
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!
Very good explanation Emma! Can"t wait for more .. :)
Thanks for your support! 😊
Thank you for your note
Thank you Emma, very crisp explanation! ^_^
whast the note taking app used its very good
I believe it's the Notion
Yes! I'm using Notion here. 😊
@@emma_ding hey Emma can u also share the notion link? Thanks so much !
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! :)
you are truly a good explainer