附件包含PDF文档和Python代码。

Time Series Forecasting in Python

by Marco Peixeiro


August 2022  
ISBN 9781617299889  
456 pages

Time Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you’ll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you’ll soon be ready to build your own accurate, insightful forecasts.

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