This is a presentation of the next minicourse on kaggle: https://www.kaggle.com/learn/intro-to-machine-learning and will include an overview of the minicourse as well as some supplementary material. Specifically, this will end up being a presentation about decision trees and random forests, as that is what this minicourse uses. This is being presented by Nick Wertzberger. Attendees are encouraged to take the 3-hour mini course before this meeting in order to trigger a discussion on the topic. We will have a study session in two weeks, however, so don't feel like you have to before attending.
Materials covered are available here: https://github.com/domlg-omaha/2019-kaggle-intro-to-ml-minicourse
A zoom meeting is available for folks who want to attend remotely.
Dial by your location
[masked] US (San Jose)
[masked] US (New York)
Find your local number: https://zoom.us/u/ac4iV5qQ3r