> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fiddler.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Onboarding

* [Create a Project and Model](/developers/python-client-guides/model-onboarding/create-a-project-and-model): Explore our guide to creating a project and onboarding a model for observation. Learn how projects organize models and define a ModelSpec and Model Task.
* [Customizing Your Model Schema](/developers/python-client-guides/model-onboarding/customizing-your-model-schema): Delve into our guide to customize your Model Schema with Fiddler. Learn how to adjust a column’s value range, possible values, and data type to match your model.
* [Updating Model Schema](/developers/python-client-guides/model-onboarding/updating-model-schema): Learn how to modify your model's schema after initial creation by adding new columns using the Python client's add\_column() method. Add features, metadata, and tracking columns to existing models.
* [Task Types](/developers/python-client-guides/model-onboarding/task-types): Explore our guide to selecting a model task type when onboarding your ML models and LLM applications.
* [Custom Missing Values](/developers/python-client-guides/model-onboarding/specifying-custom-missing-value-representations): Learn how you can customize a model column to assign values to be treated as missing or null data in order to handle a value or token that is inserted in place of null.