Practical Time Series Forecasting with Python: A Hands-On Guide
Practical Time Series Forecasting with Python provides a hands-on guide to mastering time series analysis and prediction techniques. Through step-by-step examples, learn to implement forecasting models using Python libraries. Ideal for practitioners and students aiming to apply these methods in data-driven decision-making.
About This Book
This book offers a practical introduction to time series forecasting using Python, designed for hands-on learning.
Readers will explore key concepts and techniques through guided examples and exercises.
Authored by Galit Shmueli and Eric Berger, it emphasizes applying forecasting methods effectively.
The guide is suitable for those with basic Python knowledge seeking to build forecasting skills.
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