Time Series Forecasting in Python (MEAP v03)
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
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Chapters 1 to 9
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
-----
Chapters 1 to 9
سال:
2021
اشاعت:
MEAP Edition
ناشر کتب:
Manning Publications
زبان:
english
صفحات:
222
ISBN 10:
161729988X
ISBN 13:
9781617299889
فائل:
PDF, 10.90 MB
IPFS:
,
english, 2021
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