What is the book about?

The book is about time series data analysis and forecasting using Python.

Who should read this book?

This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want practical Python recipes for time series analysis.

Is prior experience with time series data necessary?

No, it is not necessary, but it will be helpful to apply the different recipes in this book.

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Tarek A Atwan

Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

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This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats

Product Details

Publisher	Packt Publishing (June 30, 2022)
Language	English
Paperback	630 pages
ISBN-10	1801075549
ISBN-13	978-1801075541
Item Weight	2.38 pounds (1.07 kg)
Dimensions	9.25 x 7.52 x 1.3 inches
Publication date	June 30, 2022
Print length	630 pages
Date First Available	2022-6-16 19:44:24

Features & Benefits

Practical techniques for time series data analysis and forecasting
Strategies for handling missing data, time zones and anomalies
Use of different deep learning libraries
Forecast complex time series with multiple seasonal patterns

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Customer Questions & Answers

Question : What is the book about?
Answer : The book is about time series data analysis and forecasting using Python.
Question : Who should read this book?
Answer : This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want practical Python recipes for time series analysis.
Question : Is prior experience with time series data necessary?
Answer : No, it is not necessary, but it will be helpful to apply the different recipes in this book.

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Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

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