Speaker
Jose Martinez-Heras
(ESA)
Description
In this hands-on session we will use machine learning to predict the thermal power consumption of Mars Express. A good prediction is needed in order to make use of as many scientific instruments on-board at possible. Since we talked about decision trees and random forests during the theoretical part, we will use them during this practical session in python.