# Feature selection notebooks
URL: https://docs.datarobot.com/en/docs/api/dev-learning/python/py-code-examples/modeling-code/feat-select/index.html

> Review notebooks that outline feature selection.

# Feature selection notebooks

DataRobot offers end-to-end code examples via Jupyter notebooks that help you find complete examples of common data science and machine learning workflows.
Review the notebooks that outline feature selection below.

| Topic | Describes... |
| --- | --- |
| Feature Importance Rank Ensembling | Learn about the benefits of Feature Importance Rank Ensembling (FIRE)—a method of advanced feature selection that uses a median rank aggregation of feature impacts across several models created during a run of Autopilot. |
| Advanced feature selection with Python | Use Python to select features by creating aggregated Feature Impact. |

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