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I have a machine learning model that I fitted with xgboost and linear regression. My dataset has thirteen features and has price as the target.

Is there any way to make the model predict values in the future?

I have date time as one of the variables. From searching on internet, I learned about fb prophet, and that this is a time series problem. But if my xgboost is doing well, is there a way to make it predict future values? Or maybe combine xgboost and fb prophet? Can anyone please explain what I should do in this case?

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