50 - What is k-means clustering and how to code it in Python?

k-means is probably the simplest unsupervised machine learning algorithm that uses clustering techniques to sort data into various clusters (classes). This video tutorial explains the basics of k-means and walks you through the process of coding it in Python.
The code from this video is available at: github.com/bns...

[@stacymaimoon4189]

What I specially like in Sreeni's playlists is that they are numbered. Unlike with many other online courses, you can easily find a video just by its number. Most valuable feature!

[@ldsharma6546]

Sir, I have analysed 1500 soil samples for Aluminium. Would it be suitable to utilise this clustering method on my data. Could you kindly provide some invaluable suggestions over this?

[@hassanalimohammadi4553]

Thank you:) It was very informative.

[@greenfieldab]

Thank you very much for this video sir. Can you make one video with image colorization using colors from other similar images, k-means, LAB color space

[@SweetHeart-sy4on]

please csn you give me or tell me the name of software that you use it to explain

[@DigitalSreeni]

Spyder IDE for python and Autodesk SketchBook for drawing.

[@aheshjangala32]

How to upload data set and firstly how to download dataset

[@azitafazelkhah2874]

Thank you for your explanation!

[@amineleking9898]

Beautifully explained, thanks mate

[@GradStudentTutorials]

Amazing explanation! Thank you.

[@DigitalSreeni]

Glad it was helpful!

[@mahdisghorbanzade5454]

amazing explanation, thank you sir

[@DigitalSreeni]

You are most welcome

[@guylyons9886]

Nice explanation, except that the axes in the graph are not labeled. It would be helpful for understanding this and the following tutorial if the parameters used for Kmeans segmentation of images were described e.g. Y axis = intensity and X axis = ?