This training in April and May 2023 provided attendees an overview of machine learning in regards to Earth Science, and how to apply these algorithms and techniques to remote sensing data in a meaningful way. Attendees were provided with end-to-end case study examples for generating a simple random forest model for land cover classification from optical remote sensing. Additional case studies were also provided to apply the presented workflows using additional NASA data.