Lazzeri, Francesca
Machine Learning for Time Series Forecasting with Python
- ISBN 13:
- 9781119682363
- author:
- Lazzeri, Francesca
- format:
- Paperback / softback
- publisher:
- John Wiley & Sons Inc
- language:
- English
- Publication Year:
- 2020
- Pages:
- 224
- Dimensions:
- 23.1 x 18.5 x 1.5 centimeters (0
- Genre:
- Computers, Server & Database, Data Mining,
- Condition:
- New
- Availability:
- Item usually sent within 20 working days
Description
Learn to apply machine learning principles to time series forecasting with this comprehensive guide. Time series modeling is a crucial element in decision-making across various fields, yet few business analysts are familiar with its power and utility when combined with machine learning.
This book provides an approachable explanation of applying machine learning to time series forecasting, covering essential topics such as stationarity, horizon, trend, and seasonality. It also offers practical strategies for preparing data, evaluating model performance, and selecting the right models for your needs.
With real-world examples and concrete resources, this book is an invaluable guide for entry-level data scientists, business analysts, developers, and researchers looking to develop usable time series forecasts.
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