Do you want to engage in state-of-the-art machine learning competitions in teams and discuss and share tips and experiences among like-minded people? Join our Tech.Mondays Project Group to learn about data wrangling, exploratory data analysis, data visualisations, feature engineering, and common machine learning (ML) modelling approaches.
Machine learning (ML) competitions such as those hosted by Kaggle are ideal places to improve your data science and ML skills. They provide interesting data sets offered by companies and a chance to work on real-world problems relevant to the industry. Finally, the best submissions can earn high monetary rewards.
We provide a short introductory session on Kaggle and similar ML competition platforms and show you how to get started in your own competition. We encourage team building and sharing tips and experiences regarding progress made, problems, etc. We foster open and interactive get togethers.
We meet weekly or bi-weekly on Monday evenings at 18:30 - approx. 20:00, either on Zoom or on campus. Depending on your preferences, we hold quick intro sessions with some general tips and knowledge about ML and the competitions. We’ll also provide some R code in the form of a notebook to get started.
We welcome Bachelor’s up to Ph.D. students who are interested in data science and machine learning and want to apply their coding skills to machine learning competitions. We value team work and open sharing of experiences in the project group. Some coding skills in a statistical programming language, preferably in Python or R, are required. We will try to adjust the content to the participants level of knowledge.
Zoom or Makerspace (university main building)
Weekly or bi-weekly on Monday evenings at 18:30 - approx. 20:00
