How to Convert your Machine learning Model into a Docker Image (Python ML Model)
In this tutorial, I'll show you how to convert your machine learning model written in Python into a Docker image. Docker is a platform that allows you to package your application and all its dependencies into a single container, making it easy to deploy and run your application in a variety of environments.
To get started, we'll assume that you have already developed a machine learning model using Python and that you have all the necessary dependencies installed. We'll use Docker to create an image of our model and then run it in a container.
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