This section contains tutorials which show complete data science workflows on a realistic scenario and data. We are going to provide examples for different languages, frameworks, tasks and use cases.
For general prerequisites, please refer to Prerequisites.
Currently, this repository is under development and we will add more and more tutorials in the future.
- Machine Learning
- Python:
- AzureML
- Scikit-learn
- Sagemaker Using AWS sagemaker for machine learning with Exasol
- SageMaker Extension
- Python:
- Script-Language Container
- Spatial Analysis