Workshop 15 | Machine Learning: Zero to Hero
K-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
So in this workshop, we will be diving into our first Clustering Algorithm, more specifically K - Means. Let's explore this fun. RSVP Now ๐
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