Feature Engineering for Time Series Forecasting || Kishan Manani

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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







Tags:
time series
time series forecasting
python