Items related to LEARN XGBoost: Build High-Performance Models for Accurate...
LEARN XGBoost: Build High-Performance Models for Accurate Predictions (AI & Machine Learning ENG) - Softcover
Synopsis
Mastering 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.
Developed 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.
You will learn how to build robust models for classification, regression, and multiclass problems, with advanced evaluation, automated tuning, and integration into production environments.
Includes:
Structured data pipelines using Pandas and NumPy
Supervised modeling with XGBClassifier and XGBRegressor
Tuning with GridSearchCV, RandomizedSearchCV, and cross-validation
Explainability using SHAP Values, importance_gain, and visualizations
Time series forecasting with sliding windows
Deployment via Flask, FastAPI, Streamlit, and Docker
GPU (CUDA) execution and Dask clusters
Integration with AWS SageMaker and enterprise modeling
Case studies using public datasets and a final professional checklist
Master 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.
xgboost, 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
"synopsis" may belong to another edition of this title.
Search results for LEARN XGBoost: Build High-Performance Models for Accurate...
Stock Image
LEARN XGBoost: Build High-Performance Models for Accurate Predictions (AI & Machine Learning ENG)
Print on DemandSeller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # I-9798281647175
Quantity: Over 20 available
Stock Image
LEARN XGBoost: Build High-Performance Models for Accurate Predictions (AI & Machine Learning ENG)
Seller: Best Price, Torrance, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. SUPER FAST SHIPPING. Seller Inventory # 9798281647175
Quantity: 2 available
Stock Image
LEARN XGBoost (Paperback)
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Mastering 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.Developed 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.You will learn how to build robust models for classification, regression, and multiclass problems, with advanced evaluation, automated tuning, and integration into production environments.Includes: Structured data pipelines using Pandas and NumPySupervised modeling with XGBClassifier and XGBRegressorTuning with GridSearchCV, RandomizedSearchCV, and cross-validationExplainability using SHAP Values, importance_gain, and visualizationsTime series forecasting with sliding windowsDeployment via Flask, FastAPI, Streamlit, and DockerGPU (CUDA) execution and Dask clustersIntegration with AWS SageMaker and enterprise modelingCase studies using public datasets and a final professional checklistMaster 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.xgboost, 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 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798281647175
Quantity: 1 available