# Data Science

- [Data Science Overview](https://docs.rierino.com/data-science/data-science-overview.md): Rierino provides low/no-code capabilities for customizing and managing data science models.
- [ML Models](https://docs.rierino.com/data-science/ml-models.md): ML model configurations allow central listing and management of all data science models.
- [Scheduler Platforms](https://docs.rierino.com/data-science/ml-models/scheduler-platforms.md)
- [Airflow Scheduler](https://docs.rierino.com/data-science/ml-models/scheduler-platforms/airflow-scheduler.md): Models can be scheduled on Airflow for automated DAG creation and execution.
- [GenAI Models](https://docs.rierino.com/data-science/genai-models.md): In addition to general ML models, Rierino provides facility for governing LLM models for GenAI use cases
- [AI Agent APIs](https://docs.rierino.com/data-science/genai-models/ai-agent-apis.md): All AI agents configured on Rierino are automatically accessible as APIs and can be incorporated into any app for visual interaction
- [Useful Checks](https://docs.rierino.com/data-science/genai-models/useful-checks.md): This section explains most common errors and the checks to perform for troubleshooting
- [MCP Servers](https://docs.rierino.com/data-science/mcp-servers.md): In addition to full scale GenAI models, Rierino provides facility for creating MCP servers utilizing already existing functionality
- [Complex Event Processing](https://docs.rierino.com/data-science/complex-event-processing.md): Data flows provide a standardized form of defining data integration flows, which can easily be migrated between systems.
- [Siddhi Data Flows](https://docs.rierino.com/data-science/complex-event-processing/siddhi-data-flows.md): These queries are converted to Siddhi statements by SiddhiCodeProducer.
- [Data Visualizations](https://docs.rierino.com/data-science/data-visualizations.md): Visualizations are used for embedded dashboards and reporting.
- [Data Science FAQ](https://docs.rierino.com/data-science/data-science-faq.md): This FAQ covers the core Data Science concepts, model governance approach, and when to use ML, GenAI, MCP, CEP, and visualizations


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