This session will be an ML course for the beginner.  My favorite two entry-level models are decision trees and k-means, so we'll use those to begin wrapping our minds around words like supervised and unsupervised learning, information, and data models.

The code that powers the visuals I'll use is written in Python.  So while some background in coding (specifically Python) would help, those without coding experience will still get a lot from the talk.

I would like to have this event be done regularly, but obviously depends on interest.