I was wondering if it makes sense to apply normal standardization on a feature like timestamp ? The data that I process are network packets.
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For time series analysis. Yes
But, turning data into a computable object for using in the ML computation? No
Using the data as a feature. Then, Yes
I would give you a general time series example:
Consider the number of days in months. The irregularity causes friction while analyzing the model.
So, such type of transformations would be helpful which analyzing time series', which can help reduce friction in the models sensibly. Link of the explanation