Example Workflows of Supervised Machine Learning on Time-series data?

Hi All, I intend to use XGBoost on Time-series data. It appears that Time-series data needs to be made suitable for Supervised ML first by doing feature engineering. As such, I need some example workflows on Time-series data where XGBoost has been used.

This workflow doesn’t employ XGBoost, but does have a detailed discussion of data prep. It may help you.


Data prep for ML? Because the data needs to be treated differently for time-series analysis vs ML.

Without knowing anything about your data or business case its hard offer specific suggestions. Look at this:

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