Time Series Forecasting in Python by Marco Peixeiro

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附件为压缩文件，内中包含本书PDF文档以及Python代码。

Time Series Forecasting in Python

by Marco Peixeiro

August 2022  
ISBN 9781617299889  
456 pages

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.

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.

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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