Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python

Mather, Bob

ISBN 10: 0648783073 / ISBN 13: 9780648783077

Edité par Bob Mather, 2020

A propos de cet article

The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.

N° de réf. du vendeur BVV.0648783073.G

Détails bibliographiques

• Titre: Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python
• Éditeur: Bob Mather
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 0648783073
• ISBN à 13 chiffres: 9780648783077
• Reliure: Couverture rigide
• État de l'article: good

A propos de ce titre

Synopsis

Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks?

This book is your answer.

Time Series is an exciting and important part of Data Analysis. Time Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Time Series, especially using traditional programming languages such as Python.

This book solves all these problems, and more. It starts off with basic concepts in Time Series, and switches to more advanced topics. It shows you how to set up Python from start, and goes through over 20 examples of applying both simple and advanced Time Series concepts with Python code.