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Before we jump into the code, let's make sure our Python environment is ready to go. You'll need a few key libraries installed. The star of the show for implementing **regression trees** will be Scikit-learn (`sklearn`), which is the go-to library for machine learning in Python. If you don't have it installed, no worries! Just open your terminal or command prompt and type:
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Open your web browser and go to `http://127.0.0.1:8000/`. You should see the `{"Hello": "World"}` JSON response. Also, navigate to `http://127.0.0.1:8000/docs` to see the automatically generated API documentation using **Swagger UI**. This confirms that your environment is properly set up and ready for **FastAPI** development.
