{"product_id":"introduction-to-scikit-learn-and-its-axl-nickleson-9798244029048","title":"Introduction to scikit-learn and Its Ecosystem: Volume 2: Applied Modeling, Pipelines, and Evaluation","description":"Introduction to scikit-learn and Its Ecosystem\u003cp\u003e\u003cb\u003eVolume 2: Applied Modeling, Pipelines, and Evaluation\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAs Fast As Possible (AFAP)\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eMost machine learning models fail not because of poor algorithms, but because of \u003cb\u003eincorrect workflows, data leakage, weak evaluation strategies, and misleading metrics\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eThis book teaches you how to avoid those mistakes.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIntroduction to scikit-learn and Its Ecosystem - Volume 2\u003c\/b\u003e is a practical, example-driven guide to building \u003cb\u003ereliable, reproducible, and evaluation-correct machine learning pipelines\u003c\/b\u003e using scikit-learn. It moves beyond toy examples and focuses on \u003cb\u003ereal-world problems\u003c\/b\u003e encountered by students, engineers, and researchers.\u003c\/p\u003e\u003cp\u003eWritten in the \u003cb\u003eAFAP (As Fast As Possible)\u003c\/b\u003e style, the book minimizes unnecessary theory and emphasizes \u003cb\u003eclarity, correctness, and reproducibility\u003c\/b\u003e. Every concept is explained through step-by-step workflows that can be executed exactly as shown.\u003c\/p\u003e\u003cbr\u003eWhat You Will Learn\u003cp\u003e- How to design \u003cb\u003eleak-free preprocessing and modeling pipelines\u003c\/b\u003e\u003cbr\u003e- How to use Pipeline and ColumnTransformer correctly\u003cbr\u003e- Why \u003cb\u003eaccuracy alone is misleading\u003c\/b\u003e, especially on imbalanced data\u003cbr\u003e- How to evaluate models using \u003cb\u003eprecision, recall, F1-score, ROC-AUC, and MCC\u003c\/b\u003e\u003cbr\u003e- How cross-validation can silently fail-and how to avoid it\u003cbr\u003e- How to move safely from \u003cb\u003etoy datasets to real-world data\u003c\/b\u003e\u003cbr\u003e- How to diagnose overfitting, instability, and false confidence\u003cbr\u003e- How to build \u003cb\u003ereproducible, production-ready workflows\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003eWhat Makes This Book Different\u003cul\u003e\n\u003cli\u003eRealistic workflows instead of artificial demos\u003c\/li\u003e\n\u003cli\u003eGood and bad practices shown side-by-side\u003c\/li\u003e\n\u003cli\u003eStrong focus on \u003cb\u003eevaluation correctness\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eClear explanations of common failure modes\u003c\/li\u003e\n\u003cli\u003eReproducible examples with fixed random states\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eYou will learn not just \u003ci\u003ehow\u003c\/i\u003e to train models, but \u003cb\u003ehow to trust the results\u003c\/b\u003e.\u003c\/p\u003e\u003cbr\u003eWho This Book Is For\u003cp\u003e- Students moving beyond basic machine learning\u003cbr\u003e- Engineers and data scientists working with real datasets\u003cbr\u003e- Researchers who care about correct evaluation\u003cbr\u003e- Anyone frustrated by models that perform well on paper but fail in practice\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePrerequisites: \u003c\/b\u003e\u003cbr\u003eBasic Python knowledge and familiarity with fitting simple scikit-learn models (or completion of Volume 1).\u003c\/p\u003e\u003cbr\u003eIncluded Resources\u003cp\u003e- Fully reproducible code examples\u003cbr\u003e- Real-world datasets (via scikit-learn and OpenML)\u003cbr\u003e- Companion GitHub repository and online materials\u003c\/p\u003e\u003cp\u003eIf you want to stop guessing, stop leaking data, and start building \u003cb\u003emachine-learning pipelines you can trust\u003c\/b\u003e, this book is for you.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFast. Practical. Correct. Reproducible.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Axl Nickleson\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798244029048\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/15\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 496\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.51lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 1.00d","brand":"Axl Nickleson","offers":[{"title":"Paperback","offer_id":49083977924863,"sku":"9798244029048","price":34.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/introduction-to-scikit-learn-and-its-axl-nickleson-9798244029048","provider":"WR Book House","version":"1.0","type":"link"}