Machine Learning with scikit-learn and Python: Hands-on workshops for students - selected students only
- Georg Zitzlsberger ( IT4Innovations)
Learn how to use the most important Machine Learning (ML) methods scikit-learn offers, such as classification, clustering, regression, dimensionality reduction and visualization.
For every category, we will provide hands-on examples from different problem domains. We also visualize and explain the most important ML methods to help you decide where to use them for your own projects. Last but not least, we show you what's needed to run ML with scikit-learn efficiently on HPC architectures.