To use our favourite supervised learning models for time series forecasting we first have to convert time series data into a tabular dataset of features and a target variable. In this talk we’ll discuss all the tips, tricks, and pitfalls in transforming time series data into tabular data for forecasting.
Slides: https://github.com/KishManani/PyDataLondon2022
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PyData provided Coding Tech with the permission to republish PyData talks.
CREDITS:
PyData YouTube channel: https://www.youtube.com/c/PyDataTV