Jupyter notebooks on Machine Learning for scientific data analysis
Hands-on Jupyter notebooks to help beginners start using a selected set of Machine Learning (ML) methods. These notebooks represent the practical part of a ML tutorial that was given at the European XFEL data analysis satellite workshop of the 2022 user meeting. Concepts and ideas behind some common ML methods are illustrated.
Resource type: jupyter notebook
Target audience: research data scientist, PhD students, masters students
Difficulty level: Knowledge-dependent