How to implement KNN from scratch with Python

[@afizs]

Short and simple. I like the way you explained the KNN in simple words.

[@AssemblyAI]

Thank you!

[@nizamuddinshaikh3185]

Implementing KNN is so easy? That was my first thought after I saw this video. Really the way, it is explained and shown here is remarkable. It not only shows KKN but also how powerful is plain Python when used sensibly with library like Numpy. The entire idea is very useful for beginners like me. I am now AssemlyAI subscriber. I am going to not only see but follow along all videos of this playlist in order to get better understanding of Python, Numpy, Pandas and DataScience. Thank you AssemblyAI for sharing.

[@Brandonator24]

fun fact, for the distance between points in KNN, you can omit the square root portion of the euclidean distance function for efficiency. Square root function is monotonic, so it if a < b then sqrt(a) is also < sqrt(b).

[@l4dybu9]

This is the best series to learn ML. 🎓🔥🔥 Imma recommend it to all my ml enthusiast friends ✌🏻

[@AssemblyAI]

Thank you!

[@johanriedel]

The free course is appreciated, but I have trouble understanding some of the terms and the thoughts behind certain functions.

[@mbmathematicsacademic7038]

short and simple ,no complications

[@bakhtiarrasheed9952]

Great tutorial, I also added tie-breaking functionality in case tie occurs in most frequent label.

[@philtrem]

Very easy to follow after I created my own implementation. Very similar to my own implementation, except I elected to use a priority queue to keep track of the k nearest, instead of sort (because having to keep track of indices was a pain, and it was getting late). Coded mine in C# without third party libraries. I like that numpy offers a argsort method here, comes in handy.

[@semrana1986]

wonderfully done with a lot of clarity

[@OmarAmil]

Short and simple, Thank you very much

[@AssemblyAI]

You're very welcome!

[@emir5146]

I don't understand that why we add terms that '[0][0]' to the list of most_commons? 8:04

[@stanvanillo9831]

The counter returns the sorted count of all possible outcomes, i.e. a list of tuples and each tuples has the label and the count, (label, count). You only want the most common one, i.e. the first element in the array and you only want the label, not the count, i.e. you want the first element of that tuple which is also accessed by using [0]. Therefore you need to apply [0][0].

[@Franshpsv]

I like to follow this course from Lesson 1, what is the link that i need to start here?

[@IgorKuts]

Nice and concise. Love it.

[@takasurazeem]

How can I plot the graph again to see if it turned those blues into the green?

[@youssefelamrani7905]

good job, I like it, KNN doesn't well with images i believe right?

[@cherpysara]

I am getting error no module NAMED KNN .... pl help to resolve this problem.

[@luis96xd]

Whoa, excellent video! It was well explained, thanks! 😁😁👍🤩

[@AssemblyAI]

You're very welcome :)

[@mrarsenal10vn]

I love this tutorial so much

[@AssemblyAI]

Awesome!

[@alexandergarzo9415]

Please explain in more detail every line code.

[@andrea-mj9ce]

What about the regression case?

[@KarthickKenny.]

There is no regression in knn it is a classification algorithm

[@andrea-mj9ce]

@KarthickKenny. One can apply KNN when the response variable is continuous

[@KarthickKenny.]

@@andrea-mj9ce you have to apply regression algorithm in that case not knn

[@emir5146]

Thank you abla

[@sedwares]

Great video!

[@AssemblyAI]

Glad you enjoyed it

[@imadsaddik]

Thank you for sharing

[@AssemblyAI]

Thanks for watching!

[@derickkwame6148]

great simple tutorial but how do i plot a graph with the knn?

[@ge_song5]

wow, she knows her stuff.

[@tejasrathi635]

How did you visualised the data ?

[@youssefzaim7163]

great excahnge ndiro niya

[@esmailsayid2976]

amazing job

[@urielcalderon1661]

Thank you

[@AssemblyAI]

You're very welcome :)

[@SantiagoGomezVideos]

Great video! Thnk you for making it. Got this error in Colab. ModuleNotFoundError: No module named 'KNN' when running from KNN import KNN

[@AssemblyAI]

You're welcome Santiago! You should include the KNN python file we develop in the video in the file system of the collab notebook. That should get rid of the error! :)

[@1000marcelo1000]

Amazing!

[@abheermehrotra329]

how to setup my machine with all these libraries ???

[@jonforhan9196]

pip

[@Code_Catalysts]

numpy error in vscode???

[@AbdellahEnajari]

👌👌👍👍👍👍

[@tebibusolomon1529]

i love you

[@FearFlicks-ue6ex]

There is no teacher on this planet that can explain python, machine learning in a proper sequence and an entertaining way. I don't know what is she doing in this video. Also, she is not explaining whatever she is typing all that Chinese stuff.

[@systemforge]

nice

[@sidekick3rida]

How to implement knn from scratch… import numpy and sklearn ¯\_(ツ)_/¯

[@orioncloud4697]

Thx, however, this euclidean distance function needs to be corrected.

[@osviiii]

It's actually ok I'd say

[@orioncloud4697]

@@osviiii yeap i checked that, i just confused a little

[@firstlast-wz9jv]

thank you for the practice... but it's an exact copy from this one kzbin.info/www/bejne/pJivqotracpkgrc created 4 years ago

[@AssemblyAI]

Yes! Pat works with me too, we decided to do a new run of his videos :)

[@lalalalaal7209]

Are you Turkish

[@AssemblyAI]

Yes!

[@dostseferoglu6853]

@@AssemblyAI that "i" in range pronounciation gave it away :D

[@KemalDirican-f2o]

Lewis Brenda Walker James Jackson Charles

[@GeorgeZoto]

I like this approach, it is so helpful. Curious how it compares with sklearn's version of sklearn.neighbors.KNeighborsClassifier 😃

[@michaelduffy5309]

I went through all of these Assembly AI lessons, making each one work perfectly. Then I redid each one using Scikit Learn classes. In every case, I was able to drop in the sklearn equivalent and get the same or better results. A good entree into Scikit Learn.