Introduction to Machine Learning with Python and Scikit-Learn
As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a one and a half day carpentries-style workshop on basic machine learning using python and scikit-learn, to be presented at RWTH Aachen University on 1st and 2nd of April, 2026. The workshop will cover the following topics:
- What is Machine Learning / Why bother?
- Supervised Methods (Regression / Classification)
- Ensemble Methods
- Unsupervised Methods (Clustering / Dimensionality Reduction)
- Neural Networks
- Ethics and Implications of Machine Learning
Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The official registration is already closed, for last-minute registrations please contact us via info@dkz2r.de.
All workshop material will also be made available online on GitHub.
A basic familiarity with Python is expected, including writing for loops, conditional statements, using functions, and importing libraries.
- Title: Introduction to Machine Learning with Python and Scikit-Learn
- When: Wednesday, April 1st (9am-5pm) & Thursday, April 2nd (9am-3pm)
- Where: RWTH Aachen University, Germany (Kopernikusstraße 6, 52074 Aachen, Seminarraum 003)
- Format: This workshop in In-Person and no remote or online attendance options are currently planned.
