Practical Time Series Forecasting with Python: A Hands-On Guide
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Practical Time Series Forecasting with Python: A Hands-On Guide

by Galit Shmueli, Eric Berger

Computers Mathematics
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Practical Time Series Forecasting with Python is a hands-on guide to understanding and applying forecasting concepts with Python. It offers a focused resource for readers who want to explore time-dependent data, computational methods, and practical approaches to time series forecasting.

About This Book

Practical Time Series Forecasting with Python presents a hands-on guide to forecasting time-dependent data.

The book combines the subject of time series forecasting with Python, offering a practical focus for readers exploring computational approaches.

It is suited to learners and practitioners seeking an accessible resource on applying forecasting concepts through programming.

With its emphasis on practical work, the book provides a focused entry point into time series analysis and forecasting with Python.

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I will be using this book for: