作品簡介

This book demystifies the data science workflow, guiding readers through every stage—from data acquisition and preprocessing, to exploratory analysis, feature engineering, model selection, evaluation, and deployment. It balances rigorous theory with hands‑on practice, emphasizing reproducibility, scalability, and ethical considerations. Designed for aspiring data scientists and seasoned professionals, the text equips readers to transform noisy data into actionable business insights using state‑of‑the‑art techniques and tools.