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.

Related Posts

By DKZ.2R: An Introduction to Using LaTeX for Academic Publishing

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 two-day workshop on LaTeX in the style of a Carpentries workshop, to be presented at RWTH Aachen University on 5-6 May 2025. The workshop will cover the basics of structuring and writing a LaTeX document, as well as including graphics, tables, managing references, and other common tasks.

Read More

By DKZ.2R: 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 24th and 25th of July, 2025. 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. If you are interested in taking part in the workshop, you can sign up here.

Read More
Comments on Collaboration - My Experience with the DKZ.2R Rent-an-Expert Program

Comments on Collaboration - My Experience with the DKZ.2R Rent-an-Expert Program

Comments on Collaboration - My Experience with the DKZ.2R Rent-an-Expert Program

At the beginning of this year (2025), I received an email regarding the DKZ.2R “Rent an expert” program. I was very interested in this initiative and therefore applied for support from the scientific consulting team at the Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R) for assistance with my data analysis.

I obtained my master’s degree in Plant Nutrition from the China Agricultural University and pursued my PhD study at the University of Hohenheim. I am currently a postdoctoral researcher in the Institute of Crop Science and Resource Conservation, Crop Functional Genomics, at the University of Bonn.
My research expertise includes plant culturing, molecule cloning, biochemical analysis and limited data analysis experience on large-scale NGS datasets.
Since the beginning of April 2025, two DKZ.2R consultants were assigned to me: Tarek Iraki, who is proficient in programming languages such as Python, and Lennard Maßmann, who specializes in working with R. Together, we collaboratively worked on my Postdoctoral project, which focuses on the molecular and genomic dissection of lateral root development in maize.

Read More