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Forecasting Time Series Data with Fac Prophet: Build, improve, and optimize t...

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Forecasting Time Series Data with Facebook Prophet: Build, improv
ISBN
9781800568532
Publication Year
2021
Type
Textbook
Format
Trade Paperback
Language
English
Subject Area
Computers, Technology & Engineering
Publication Name
Forecasting Time Series Data with Facebook Prophet : Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool
Author
Greg Rafferty
Publisher
Packt Publishing, The Limited
Subject
Machine Theory, Engineering (General), Neural Networks, Data Processing
Number of Pages
270 Pages

About this product

Product Information

Create and improve high-quality automated forecasts for time series data that have strong seasonal effects, holidays, and additional regressors using PythonKey Features* Learn how to use the open-source forecasting tool Facebook Prophet to improve your forecasts* Build a forecast and run diagnostics to understand forecast quality* Fine-tune models to achieve high performance, and report that performance with concrete statisticsBook DescriptionProphet enables Python and R developers to build scalable time series forecasts. This book will help you to implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code.You will begin by exploring the evolution of time series forecasting, from the basic early models to the advanced models of the present day. The book will demonstrate how to install and set up Prophet on your machine and build your fi rst model with only a few lines of code. You'll then cover advanced features such as visualizing your forecasts, adding holidays, seasonality, and trend changepoints, handling outliers, and more, along with understanding why and how to modify each of the default parameters. Later chapters will show you how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models and see some useful features when running Prophet in production environments.By the end of this Prophet book, you will be able to take a raw time series dataset and build advanced and accurate forecast models with concise, understandable, and repeatable code.What you will learn* Gain an understanding of time series forecasting, including its history, development, and uses* Understand how to install Prophet and its dependencies* Build practical forecasting models from real datasets using Python* Understand the Fourier series and learn how it models seasonality* Decide when to use additive and when to use multiplicative seasonality* Discover how to identify and deal with outliers in time series data* Run diagnostics to evaluate and compare the performance of your modelsWho this book is forThis book is for data scientists, data analysts, machine learning engineers, software engineers, project managers, and business managers who want to build time series forecasts in Python. Working knowledge of Python and a basic understanding of forecasting principles and practices will be useful to apply the concepts covered in this book more easily.

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1800568533
ISBN-13
9781800568532
eBay Product ID (ePID)
11050393299

Product Key Features

Publication Year
2021
Subject
Machine Theory, Engineering (General), Neural Networks, Data Processing
Number of Pages
270 Pages
Language
English
Publication Name
Forecasting Time Series Data with Facebook Prophet : Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool
Type
Textbook
Subject Area
Computers, Technology & Engineering
Author
Greg Rafferty
Format
Trade Paperback

Additional Product Features

Dewey Edition
23
Dewey Decimal
006.754
Lc Classification Number
Tk5105.88817

Item description from the seller

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