What You'll Gain

• Core forecasting techniques and how to choose between them
• Feature engineering for time-based data (lags, rolling stats, seasonality)
• Validation strategies that avoid “future leakage”

Why Choose This Book

Forecasting is easy to do wrong. This book focuses on correct validation, realistic baselines, and practical workflows that mirror production forecasting work.

Who Should Read This Book

Analysts and ML practitioners who need forecasting for demand, sales, operations, or planning.

Outcome

Build forecasting pipelines that are reliable, explainable, and useful for decision-making.