| Thema | Einzelheiten |
| Thema 1 | - Transform numerical and categorical data
- Address business risks, ethical concerns, and related concepts in operationalizing the model
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| Thema 2 | - Train, validate, and test data subsets
- Training and Tuning ML Systems and Models
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| Thema 3 | - Understanding the Artificial Intelligence Problem
- Analyze the use cases of ML algorithms to rank them by their success probability
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