Learning

Machine Learning for Solar Physics Datasets

Python for Scientific Computing → Capstone Project: Solar Flare Forecasting

This learning path guides graduate students in solar physics through the essential machine learning and data science skills needed to apply deep learning to solar datasets, covering flare forecasting, image segmentation, time series analysis, and anomaly detection. It progresses from foundational Python and solar data handling to specialized deep learning architectures and evaluation techniques, ensuring a solid understanding of both the domain and the ML methods.