Learning Path

Python for Scientific Computing → ML Application Project in Space Physics

This learning path equips graduate students in space physics with the knowledge and skills to apply machine learning to space physics data. It covers essential Python and data analysis skills, statistics, signal processing, and core ML techniques including classification, regression, clustering, anomaly detection, and feature extraction, with applications to space physics problems.