Mastering Forecasting Metrics & Accuracy: For Data Science and Beyond
Mastering Forecasting Metrics & Accuracy: For Data Science and Beyond
About the Book
šĀ Mastering Forecasting Metrics & Accuracy: For Data Science and Beyond
Forecasting models are only as good as the metrics used to measure them. Yet many teams still rely on outdated or misleading measures like MAPE. This book is theĀ first comprehensive, practitioner-friendly guide dedicated entirely to forecast evaluation metricsĀ ā blending clear theory, Python recipes, and real-world case studies.
Learn how to avoid common pitfalls, measure bias, handle intermittent demand, and apply advanced metrics like MASE, RMSSE, CRPS, pinball loss, and calibration scores. Each chapter includes formulas, code, and visuals to make concepts easy to apply.
Perfect forĀ data scientists, ML engineers, analysts, researchers, and industry professionalsĀ in retail, finance, and energy. No heavy math required.
About the Author
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