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Validation Loss Fluctuates then Decrease alongside Validation Accuracy Increases

That does not mean something really. While getting closer to the global minimum, your gradients fluctuates only. You just need to check the overall behaviour such if there is any over-fitting etc.
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Can I shuffle data for delivery duration forecast problem?

As a rule of thumb, you not just should but you must shuffle your training instances always. You just need to pay attention to not be fooled in regard to what a training instance is in your specific ...
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Can I shuffle data for delivery duration forecast problem?

Yes, shuffling the dataset is in fact, an important step in the process. Shuffling help in reducing overfitting to a particular pattern and generates more 'randomness' to the data, hence helping the ...
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