{"product_id":"hands-on-gradient-boosting-with-python-a-practical-introduction-to-xgboost-lightgbm-and-the-scikit-learn-ecosystem-9798278284963","title":"Hands-On Gradient Boosting with Python: A Practical Introduction to XGBoost, LightGBM, and the Scikit-Learn Ecosystem","description":"\u003cp\u003e • Author(s): Adrian Devlin\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAre you curious about machine learning but feel overwhelmed by math, jargon, and complex tutorials?\u003c\/b\u003e\u003cbr\u003eIf words like \u003ci\u003eXGBoost\u003c\/i\u003e, \u003ci\u003eLightGBM\u003c\/i\u003e, and \u003ci\u003egradient boosting\u003c\/i\u003e sound exciting but intimidating, this book is your friendly guide through the noise.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHands-On Gradient Boosting with Python: A Practical Introduction to XGBoost, LightGBM, and the Scikit-Learn Ecosystem\u003c\/b\u003e is written for complete beginners and self-taught developers who want a clear, step-by-step path into modern Python machine learning-without needing a PhD or years of coding experience.\u003c\/p\u003e\u003cp\u003eYou'll start with the basics of Python, scikit-learn, and tabular data, then gently build up to powerful boosting models used in real-world projects and Kaggle competitions. Every chapter walks you through code line by line, explains \u003ci\u003ewhy\u003c\/i\u003e each step matters, and shows you how to avoid common mistakes.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside, you'll learn how to: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eSet up your Python machine learning environment with confidence\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eUnderstand core concepts like decision trees, ensembles, and gradient boosting in plain English\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild practical models with scikit-learn, XGBoost, and LightGBM for regression and classification\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWork on real-world projects such as house price prediction and credit risk scoring\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTune hyperparameters, handle imbalanced data, and evaluate models with metrics like AUC, F1, and RMSE\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eUse SHAP and LIME for model explainability so you can \u003ci\u003etrust\u003c\/i\u003e your predictions\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eSave, load, and deploy your models so they are ready for real applications\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThroughout the book, you're treated like a learner-not a walking error message. Mistakes are normalized, experiments are encouraged, and every \"small win\" is celebrated: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eClear explanations before any code\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eGradual progression from simple to advanced models\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eGentle reminders that confusion is part of learning\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003ePractical tips for debugging, improving, and reusing your work\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you're a student, an aspiring data scientist, or a developer stepping into Python machine learning for the first time, this book becomes your supportive companion-one that makes gradient boosting feel approachable, understandable, and genuinely fun.\u003c\/p\u003e\u003cp\u003eIf you're ready to stop scrolling tutorials and start building real models that actually work, \u003cb\u003eopen this book and begin your hands-on journey into gradient boosting with Python today.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46861422461079,"sku":"9798278284963","price":2552.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798278284963.webp?v=1769962005","url":"https:\/\/atlanticbooks.com\/products\/hands-on-gradient-boosting-with-python-a-practical-introduction-to-xgboost-lightgbm-and-the-scikit-learn-ecosystem-9798278284963","provider":"Atlantic Books","version":"1.0","type":"link"}