Feature Engineering for Machine Learning (Techniques, Tools and Applications)

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by: A. B. Bhattacharya, R. Bhattacharya

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Published:

May 29, 2026

Edition:

First

Type of book:

both

Year:

2026

Language:

English

Publisher:

Khanna Publishing House

Categories:

Emerging Technologies, New Arrivals, Book Store

Condition Type:

new

Country Origin:

India

Access Type

Duration

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ISBN-13: 9789374541517

ISBN-10: 9374541513

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Feature Engineering for Machine Learning (Techniques, Tools and Applications) Feature engineering is where machine learning success is truly built. Algorithms get the spotlight, but the real competitive edge lies in how you shape your data. Feature Engineering for Machine Learning is your practical, no-nonsense guide to transforming raw data into powerful signals that unlock model performance, reliability, and insight. Whether you're a data scientist, ML engineer, analyst, or student, this book takes you beyond theory into the craft of creating features that matter. You'll learn how to identify meaningful patterns, design robust transformations, handle messy real-world data, and systematically improve model outcomes. Key Features Through clear explanations, real examples, and actionable techniques, you'll discover how to:

Turn raw data into predictive features
Apply domain knowledge to engineer smarter signals
Handle categorical, temporal, and high-dimensional data
Avoid common pitfalls that sabotage model performance
Build scalable, reproducible feature pipelines

Feature engineering isn’t just a step in the workflow, it's the foundation of great machine learning. Master it, and you don’t just build models… you build better decisions.

No table of contents available for this book.

A. B. Bhattacharya

No biography available.

R. Bhattacharya

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