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I was wondering if it makes sense to apply normal standardization on a feature like timestamp ? The data that I process are network packets.

Thank you

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  • $\begingroup$ Could you expand on what you want to use this feature to do? $\endgroup$ – jamesmf Nov 5 '15 at 16:18
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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.

Consider this: enter image description here

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

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