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Basics 1 – Predictive Models and their Validation
May 5, 09:00 - May 6, 17:00
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track.
Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant the opportunity to try things out without any programming knowledge.