Containerization steps
In this video, you have covered the topic of containerizing a machine learning model for deployment using Docker. You have discussed how Docker allows us to package your model and its dependencies into a standalone unit, which can be executed easily in different environments. You have also learned about Dockerfiles, the text documents containing commands that build an image, and the sequence of steps to follow in order to containerize a machine learning model.
This exercise is part of the course
End-to-End Machine Learning
Hands-on interactive exercise
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