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Shipping a model is where most ML projects meet reality. This workshop takes you through everything that happens after training: wrapping your model in a clean API, handling real-world inputs, and getting it running somewhere it can actually be used. You will leave knowing how to turn a notebook into a service that works in production.

Related topics

Machine Learning
Data Science
Data Science using Python

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