Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python)

by: Matt Harrison (Author),Edward Krueger(Editor),Alex Rook(Editor),Ronald Legere(Editor),Bojan Tunguz(Foreword)&1more

Publication Date: 21 Mar. 2023

Language: English

Print Length: 220 pages

ISBN-10: 1792310390

ISBN-13: 9781792310393

Book Description

“Effective XGBoost” is the ultimate guide to mastering the art of classification. Whether you’re a seasoned data scientist or just starting out, this comprehensive book will take you from the basics of XGBoost to advanced techniques for optimizing, tuning, understanding, and deploying your models.XGBoost is one of the most popular machine leaing algorithms used in data science today. With its ability to handle large datasets, handle missing values, and deal with non-linear relationships, it has become an essential tool for many data scientists. In this book, you’ll lea everything you need to know to become an expert in XGBoost.Starting with the basics, you’ll lea how to use XGBoost for classification tasks, including how to prepare your data, select the right features, and train your model. From there, you’ll explore advanced techniques for optimizing your models, including hyperparameter tuning, early stopping, and ensemble methods.But “Effective XGBoost” doesn’t stop there. You’ll also lea how to interpret your XGBoost models, understand feature importance, and deploy your models in production. With real-world examples and practical advice, this book will give you the skills you need to take your XGBoost models to the next level.Whether you’re working on a Kaggle competition, building a recommendation system, or just want to improve your data science skills, “Effective XGBoost” is the book for you. With its clear explanations, step-by-step instructions, and expert advice, it’s the ultimate guide to mastering XGBoost and becoming a top-notch data scientist.
“Effective XGBoost” is the ultimate guide to mastering the art of classification. Whether you’re a seasoned data scientist or just starting out, this comprehensive book will take you from the basics of XGBoost to advanced techniques for optimizing, tuning, understanding, and deploying your models.XGBoost is one of the most popular machine leaing algorithms used in data science today. With its ability to handle large datasets, handle missing values, and deal with non-linear relationships, it has become an essential tool for many data scientists. In this book, you’ll lea everything you need to know to become an expert in XGBoost.Starting with the basics, you’ll lea how to use XGBoost for classification tasks, including how to prepare your data, select the right features, and train your model. From there, you’ll explore advanced techniques for optimizing your models, including hyperparameter tuning, early stopping, and ensemble methods.But “Effective XGBoost” doesn’t stop there. You’ll also lea how to interpret your XGBoost models, understand feature importance, and deploy your models in production. With real-world examples and practical advice, this book will give you the skills you need to take your XGBoost models to the next level.Whether you’re working on a Kaggle competition, building a recommendation system, or just want to improve your data science skills, “Effective XGBoost” is the book for you. With its clear explanations, step-by-step instructions, and expert advice, it’s the ultimate guide to mastering XGBoost and becoming a top-notch data scientist.