Rafferty, Greg
Forecasting Time Series Data with Prophet: Build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool, 2nd Edition
- ISBN 13:
- 9781837630417
- author:
- Rafferty, Greg
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2023
- Pages:
- 282
- Dimensions:
- 23.5 x 19.1 x 1.5 centimetres (0
- Genre:
- Computers, Server & Database, Data Mining,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Forecasting Time Series Data with Prophet is a comprehensive guide to implementing cutting-edge forecasting techniques using Python. With this book, you'll learn how to create and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors.
The second edition of this book has been fully revised to reflect the latest updates to the Prophet package, including a new chapter on the mathematical equations behind Prophet's models. You'll also discover advanced features such as visualizing forecasts, handling outliers, and optimizing more complicated models with hyperparameter tuning.
By following the steps outlined in this book, you'll be able to create accurate forecasts and evaluate their performance using diagnostics. Whether you're working with data from a specific industry or need to improve your forecasting skills generally, Forecasting Time Series Data with Prophet provides the tools and knowledge you need to succeed.
Related Products
Related Products
Time Series Forecasting in Python
Peixeiro, Marco
Forecasting, Structural Time Series Models and the Kalman Filter
Andrew C. Harvey
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
Joseph, Manu
Machine Learning for Time Series Forecasting with Python
Lazzeri, Francesca
Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis applications
Weisinger, Corey