Feature Engineering and Model Tuning: Practical Data Science Techniques
Author:   James Relington
Publisher:   Independently Published
ISBN:  

9798280225695


Pages:   182
Publication Date:   16 April 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Feature Engineering and Model Tuning: Practical Data Science Techniques


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Overview

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.

Full Product Details

Author:   James Relington
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 15.20cm , Height: 1.00cm , Length: 22.90cm
Weight:   0.249kg
ISBN:  

9798280225695


Pages:   182
Publication Date:   16 April 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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