{"product_id":"learn-xgboost-build-high-performance-models-for-accurate-predictions-9798281647175","title":"LEARN XGBoost: Build High-Performance Models for Accurate Predictions","description":"\u003cp\u003e • Author(s): Studiod21 Smart Tech Content\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Natural Language Processing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMastering XGBoost is an essential skill for professionals working in data science, machine learning, and predictive model engineering in critical environments. Widely used in technical competitions, business solutions, and large-scale production systems, XGBoost is a leading reference for performance, stability, and control in supervised learning pipelines. This book offers a direct, applied, and technically precise approach to all core aspects of the library, focusing on real-world applications and professional validation.\u003c\/p\u003e\u003cp\u003eDeveloped in accordance with the TECHWRITE 2.3 Protocol, the content is ideal for data scientists, machine learning engineers, technical analysts, and students seeking to master XGBoost with an operational focus and full system integration. Its modular structure allows for a progression from conceptual understanding to technical deployment, with explained code, recommended practices, and structured error resolution.\u003c\/p\u003e\u003cp\u003eYou will learn how to build robust models for classification, regression, and multiclass problems, with advanced evaluation, automated tuning, and integration into production environments.\u003c\/p\u003e\u003cp\u003eIncludes: \u003c\/p\u003e\u003cp\u003eStructured data pipelines using Pandas and NumPy\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSupervised modeling with XGBClassifier and XGBRegressor\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTuning with GridSearchCV, RandomizedSearchCV, and cross-validation\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eExplainability using SHAP Values, importance_gain, and visualizations\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTime series forecasting with sliding windows\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDeployment via Flask, FastAPI, Streamlit, and Docker\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eGPU (CUDA) execution and Dask clusters\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIntegration with AWS SageMaker and enterprise modeling\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eCase studies using public datasets and a final professional checklist\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMaster XGBoost and position yourself with technical authority in projects that demand accurate predictions, reliable validation, and end-to-end delivery aligned with systems and strategic objectives. This book is your professional reference manual for the most powerful algorithm in modern supervised modeling.\u003c\/p\u003e\u003cp\u003exgboost, supervised machine learning, classification and regression, hyperparameter tuning, deployment with Flask and FastAPI, SHAP Values, time series, Dask, GPU, SageMaker, enterprise projects, explainability, predictive modeling, production pipelines\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45559028973719,"sku":"9798281647175","price":1206.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798281647175.webp?v=1768594913","url":"https:\/\/atlanticbooks.com\/products\/learn-xgboost-build-high-performance-models-for-accurate-predictions-9798281647175","provider":"Atlantic Books","version":"1.0","type":"link"}