Data Science with Generative AI - Volume 3: Machine Learning

Volume 3 — Machine Learning

Chapters 33–40. The classical machine learning toolkit that still powers most business value, even in a generative-AI world. From your first regression to gradient boosting, this volume covers model evaluation, feature engineering, and explainability — and is honest about where a well-built classical model still beats a large language model. Concept and code sections are written to be read in full; the beginner-example sections move faster if you already know the basics.

Who it's for: anyone who needs to actually build and evaluate predictive models, not just talk about them — analysts, engineers, and beginners who've completed Volumes 1–2.

What you get: PDF + EPUB of Volume 3. (Book + Resources adds runnable code files/notebooks for every chapter)