1. Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models
Authors: Matt Harrison, Edward Krueger, Alex Rook, Ronald Legere, Bojan Tunguz
Price: $49.00
Publication Date: March 21, 2023
This book serves as an essential guide for those seeking to master XGBoost for classification problems. The authors bring an effective blend of theory and practical insights, guiding readers through optimization techniques, model tuning, and deployment strategies. It’s tailored for both beginners and seasoned data scientists, appealing for its practical examples and real-world applications. With a step-by-step approach, readers can expect to deepen their understanding of this powerful tool that has revolutionized predictive modeling. A must-read for anyone serious about machine learning and data science.
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