Machine learning in R

In two days I will present to the West Side Developers Legion (WSDL) about machine learning using R. It is intended to be introductory for people with no experience in R or machine learning. Surprisingly, several of the people attending list R as part of their professional expertise. I am not sure why they are coming, because this presentation assumes the audience cannot spell R. As long they are not showing up to heckle, it's all good.

I am excited to give this presentation. I put a lot of time into polishing it. I intend to limit the presentation to an hour. However, the material kept growing as I worked with it, so I broke the material into three different modules.

Module 1 - Introduction to R and Machine Learning ~ 1 hour
Module 2 - More challenging classification problem ~ 30 minutes
Module 3 - Classification with R and H2O machine learning service ~ 20 minutes


Projection of the first three principal components of a set of data on plant leaves