Feature Engineering Made Easy

Feature engineering is a critical step in building effective machine learning systems, and this book guides you through the entire process. From understanding the types of features to advanced techniques in construction, selection, and optimization, this book enables you to boost your models with well-crafted features.

What this Book will help me do

• Understand different types of features (continuous, categorical, etc.) and how to best utilize them.
• Learn techniques for cleaning and preparing features to improve model performance.
• Master the art of feature selection and automate feature creation.
• Leverage domain knowledge to construct problem-driven features.
• Apply feature engineering techniques in real-world use cases and case studies.

Author(s)

Sinan Ozdemir, a seasoned data scientist and author, brings his expertise in machine learning systems design. None Susarla specializes in applying theoretical insights into practical machine learning solutions. Together, they deliver insights and hands-on guidance.

Who is it for?

This book is tailored for data scientists, machine learning engineers, and analytics professionals who want to deepen their understanding of feature engineering. If you have a working knowledge of machine learning concepts and Python scripting and aim to enhance your prediction models, this is for you. This book helps bridge the gap between understanding basic concepts and applying advanced techniques in real-world scenarios.