This library help to create models with identifiers, checkpoints, logs and metadata automatically, in order to make the training process more efficient and traceable.
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Updated
Mar 7, 2023 - Python
This library help to create models with identifiers, checkpoints, logs and metadata automatically, in order to make the training process more efficient and traceable.
In today's fast-paced world, efficient food delivery is crucial. This project presents a robust and modular end-to-end machine learning pipeline designed to predict food delivery times. By leveraging a rich dataset containing delivery personnel details, restaurant locations, order information, and environmental factors like weather and traffic.
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