📘 Pro Edition - Mastering Forecasting Metrics & Accuracy: For Data Science and Beyond

Evaluate and improve your forecasts with the ultimate guide to metrics — from MAE, RMSE, to MASE, CRPS, and probabilistic scoring.

Why this book?

Forecasting models are only as good as the metrics we use to measure them. Yet most teams still rely on outdated or misleading measures like MAPE — often without realizing the risks.

This book is the first comprehensive, practitioner-friendly guide focused entirely on forecast evaluation metrics. It blends theory, practical code recipes in Python, and real-world case studies across retail, finance, and energy.

What you’ll learn

✔️ The pitfalls of MAPE — why it fails and better alternatives (WAPE, MASE, RMSSE).
✔️ Bias & systematic error — how to detect and measure over/under-forecasting.
✔️ Intermittent demand metrics — evaluate forecasts when half your series are zeros.
✔️ Probabilistic evaluation — CRPS, pinball loss, calibration, prediction interval scores.
✔️ Relative & benchmark metrics — measure forecast value added vs. naive baselines.
✔️ Industry case studies — retail (service levels), finance (directional accuracy), energy (normalized errors).
✔️ Best practices — how to choose the right metric portfolio for your business goals.

Each chapter includes clear explanations, formulas, code examples, and visuals.

Who is it for?

• Data scientists, ML engineers building forecasting models.
• Retail, manufacturing, finance, and energy professionals who rely on forecasts for decisions.
• Researchers, analysts, and students who want a single, authoritative reference on forecast accuracy.

No heavy math background required — everything is explained accessibly.

Living book — buy once, get all updates free

This is an in-progress book. One new chapter will be released each month.

• Current chapters: Introduction + Core Metrics (MAE, RMSE, MAPE pitfalls).
• Planned chapters: Bias, Intermittent Demand, Probabilistic Metrics, Case Studies, and more.
• Early buyers get lifetime updates free. Price will rise as new chapters are added.

Why now?

Whether you’re tuning a neural network, running a retail forecasting team, or presenting results to executives — choosing the wrong metric can make or break your project.

This book gives you the clarity, tools, and confidence to measure what matters in forecasting.

🔥 Get your copy now and start mastering the metrics that drive better forecasts.

🔓 Pro Edition Bonus Pack Includes everything above, plus:

✅ Premium Forecasting Templates — plug-and-play workflows
✅ Extended Case Studies — deep analyses across major industries
✅ Cheat Sheets & Flashcards — quick-reference model guides and best practices
✅ Behind-the-Scenes Notebooks — annotated walkthroughs and exploratory pipelines
✅ Forecast Model Selection Toolkit — Python notebooks to benchmark, optimize, and compare

📈 Ideal for professionals and teams who want to build and deploy faster—and sidestep the guesswork.