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Conclusion : Models as Web Endpoints

Explore how to deploy machine learning models as web endpoints with Python tools like Flask. Learn about model persistence, deploying to platforms such as Heroku, and introductory PySpark Dataframe operations. Understand how these techniques support scalable model pipelines within cloud ecosystems.

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The Python ecosystem has a great suite of tools for building web applications. Using only Python, you can write scalable APIs deployed to the open web or custom UI applications that interact with backend Python code. This chapter focused on Flask, which can be extended with other libraries and hosted in a wide range of environments. One of the important concepts we touched on in this chapter is model persistence, which will be useful in ...

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