Python Machine Learning Tutorial #3 - K-Nearest Neighbors Classification

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In today's episode we are starting by talking about the first classification algorithm. This is the K-Nearest Neighbors Classification.

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Awesome stuff. I will go through your catalogue when I have time. Can I link your videos in my future videos (reference them) when I need some stuff you teach here? I want to help your channel and also save my time by sending people to your channel instead of making the same video as you already have.

rebelScience

why did we give n_neighbors = 3 there?

manishcharan

First of all, thank you for your videos and sharing your knowledge on python, etc. !

load_breast_cancer is a <class 'sklearn.utils._bunch.Bunch'>
Would you recommend the use of sklearn.bunch structures to build dataset for science and apply machine learning?
When is it appropriate to use dataframe vs such data structures ?
A video about choice of data format/structure would be great...
A video about creating a sklearn.bunch (although I can dig on the web...) ?

JerryJess-fh

How can I create my own data (like cancer data in the video)?

antoniorivolta

In clf.predict can we just predict only one thing's target at a time Or is it the case for KNN.
Plus when I did predict for a single value it showed [0] i.e. an array you said at last it would show malignant Or benign did I do something wrong?

vijaysamant

Thanks for detailed and easy to understand explanation

malikgaruba

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