NMLS - 1. Clustering - Kmeans - Unsupervised Learning - Introductory Machine Learning

In 2022 I started the new  Machine Learning Specialization by Andrew NG.

I completed it's first two courses in 2022. I'll sgare the jupyter notebooks from this specialization soon.

Now, in 2023 when I am finally free from my M1, I am going to complete the specialization. Here is the first Assignment of course 3 (last course) on Clustering.


Procedure:

Distances between each data-point and all of the cluster centroids were computed

The cluster centroid closest to the each data-point was assigned to that data-point

The average positions of all of the data-points in a cluster were computed

Corresponding centroids were moved to these new average positions

The procedure was repeated for a specific number of iterations.


Relevant  github link

Relevant  video explanation (in Urdu)

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