Performance 1: Data partitioning for time series

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Galit Shmueli

Galit Shmueli

Күн бұрын

Data partitioning is a fundamental step in predictive modeling. For time series, partitioning is done differently from cross-sectional data.
This video supports the textbook Practical Time Series Forecasting.
www.forecastingbook.com
www.galitshmueli.com

Пікірлер: 6
@pavlobilinskyi775
@pavlobilinskyi775 9 ай бұрын
Thanks, this is a good explanation of roll-forward partitioning.
@bobyuwono6063
@bobyuwono6063 4 жыл бұрын
found this really helpful. Thankyou from Indonesia
@nuwanchathuranga7226
@nuwanchathuranga7226 4 жыл бұрын
Thank you, professor, Good explanation, this will help me to write my thesis
@bhaskartripathi
@bhaskartripathi 3 жыл бұрын
very precise and informative video
@nicolaspino4467
@nicolaspino4467 4 жыл бұрын
Hello, i have a question about the metrics for forecasting evaluation. Do you have some video about metrics? Do you suggest me book or forums please. I development a motor forecasting and i am in step of evlauation of forecasting.
@AlchemyAles
@AlchemyAles 5 жыл бұрын
Why doesn't your book teach step 3? There isn't a single example in any of the forecasting chapters on that step.
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