Time Series Forecasting in Python
0.0
( 2929 )
Engelsk
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you ...
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Forlagsbeskrivelse af Time Series Forecasting in Python af Marco Peixeiro
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: Recognize a time series forecasting problem and build a performant predictive model Create univariate forecasting models that account for seasonal effects and external variables Build multivariate forecasting models to predict many time series at once Leverage large datasets by using deep learning for forecasting time series Automate the forecasting process Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You''ll explore interesting real-world datasets like Google''s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
Detaljer
Forlag
Manning Publications
ISBN
9781617299889
Sprog
Engelsk
Sider
456
Udgivelsesdato
10-11-2022
Format
Paperback
Varenr.
3354119
EAN nr.
9781617299889
Varegruppe
Engelsk non fiction div.
Højde/Dybde (mm)
235
Bredde (mm)
187
Længde (mm)
36
Vægt (g)
848
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