【 kNN 】 k Nearest Neighbors Vizualized

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👇Practice-Code, Timestamps, Links, ...‼️

⏱ Timestamps:
0:00 - Intro example
0:23 - What is k used for?
1:13 - Testing out different values for k
1:48 - Decision boundaries based on k
2:48 - Review: The Pros and Cons of kNN
3:57 - kNN for regression problems by taking mean of neighbors

📚 kNN is a machine learning algorithm that can be used for classification and regression. For a new point, it works by looking at the labels/y-values of the k nearest neighbors of the point.

Share this video with your k nearest neighbors. 😜

  1. Valinor
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Комментарии
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This video is amazing. It would be great if you could add some practical or real world examples or even propose challenges where this algorithms could be implemented. Also some further reading in the comments or the information box would be amazing.

Keep up the great job!

pedropablocameron
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In the coming videos, we want to cover all sorts of ML algorithms.
▶ Which one do you want next?
▶ What length (=level of detail) do you prefer? ~5 min?
👉 Tell us below

valinor-edu
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Hey, we just added python-code for kNN for you to practice!
Check out the description for the link. It's in a jupyter-notebook that runs in your browser.

valinor-edu
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The explanation and the animation were both good.. Share the code plz...

AKfire
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I messed up my k nearest neighbours gardens

baggern
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Is there a ML algo that can be used to discover the best K?

danieljohns
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Cunning social critique with the property values. Black being lower and white being higher. Shows the systematic discrimination against black homeowners. Some more input on the topic would have been nice.

Apart from that good video.

Greetings from Sicily

fruchtmann