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easyContainerization For ML
A data scientist trains a model on her laptop (Python 3.10, scikit-learn 1.3.0) and sends the model.pkl file to an engineer who deploys it on a server (Python 3.8, scikit-learn 1.1.0). The deployed model raises a ModuleNotFoundError for a preprocessing class. What problem does Docker solve in this scenario?
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