What are the best tools for deploying machine learning models in Python?
Some popular tools for deploying machine learning models in Python include Flask, FastAPI, Docker, and TensorFlow Serving.
Can you explain how Flask is used for deployment?
Flask is a lightweight web framework that allows you to create APIs for your machine learning models, making them accessible over the web.
What about using Docker for deployment?
Docker helps in containerizing your application, ensuring that it runs consistently across different environments.
Are there any tools specifically for scaling machine learning models?
Yes, tools like Kubernetes and AWS SageMaker are great for scaling and managing machine learning deployments.
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