• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Feature Engineering and Model Tuning: Practical Data Science Techniques

Feature Engineering and Model Tuning: Practical Data Science Techniques

Paperback

General Computers

ISBN13: 9798280225695
Publisher: Independently Published
Published: Apr 16 2025
Pages: 182
Weight: 0.55
Height: 0.39 Width: 6.00 Depth: 9.00
Language: English
This book provides a comprehensive exploration of feature engineering, hyperparameter tuning, model interpretability, and production-level machine learning practices. Designed for practitioners and advanced learners, it delves into the techniques, tools, and strategies required to build robust, scalable, and explainable machine learning systems. From automated pipelines to drift detection and continuous monitoring, each chapter bridges theory with practical implementation to equip readers with the skills needed to deploy and maintain high-performing models in real-world environments.

Also from

Relington, James

Also in

General Computers