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 π
Thursday, October 15, 2020
3:00 PM β 4:30 PM UTC
Introduction to K - Means |
Exploring our Own Dataset |
Training ML Model |
Q/A |
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