Sign-In
Cart
Python Feature Engineering Cookbook - Third Edition: A complete guide to crafting powerful features for your machine learning models
Paperback
ISBN13: 9781835883587
Publisher: Packt Publishing
Published: Aug 30 2024
Pages: 396
Weight: 1.49
Height: 0.81 Width: 7.50 Depth: 9.25
Language: English
Leverage the power of Python to build real-world feature engineering and machine learning pipelines ready to be deployed to production
Key Features:
- Craft powerful features from tabular, transactional, and time-series data
- Develop efficient and reproducible real-world feature engineering pipelines
- Optimize data transformation and save valuable time
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.
This guide addresses common challenges, such as imputing missing values and encoding categorical variables using practical solutions and open source Python libraries.
You'll learn advanced techniques for transforming numerical variables, discretizing variables, and dealing with outliers. Each chapter offers step-by-step instructions and real-world examples, helping you understand when and how to apply various transformations for well-prepared data.
The book explores feature extraction from complex data types such as dates, times, and text. You'll see how to create new features through mathematical operations and decision trees and use advanced tools like Featuretools and tsfresh to extract features from relational data and time series.
By the end, you'll be ready to build reproducible feature engineering pipelines that can be easily deployed into production, optimizing data preprocessing workflows and enhancing machine learning model performance.
What You Will Learn:
- Discover multiple methods to impute missing data effectively
- Encode categorical variables while tackling high cardinality
- Find out how to properly transform, discretize, and scale your variables
- Automate feature extraction from date and time data
- Combine variables strategically to create new and powerful features
- Extract features from transactional data and time series
- Learn methods to extract meaningful features from text data
Who this book is for:
If you're a machine learning or data science enthusiast who wants to learn more about feature engineering, data preprocessing, and how to optimize these tasks, this book is for you. If you already know the basics of feature engineering and are looking to learn more advanced methods to craft powerful features, this book will help you. You should have basic knowledge of Python programming and machine learning to get started.
Table of Contents
- Imputing Missing Data
- Encoding Categorical Variables
- Transforming Numerical Variables
- Performing Variable Discretization
- Working with Outliers
- Extracting Features from Date and Time Variables
- Performing Feature Scaling
- Creating New Features
- Extracting Features from Relational Data with Featuretools
- Creating Features from a Time Series with tsfresh
- Extracting Features from Text Variables
Also from
Galli, Soledad
Also in
General Computers
All Data Are Local: Thinking Critically in a Data-Driven Society
Loukissas, Yanni Alexander
Paperback
Comptia Network+ Certmike: Prepare. Practice. Pass the Test! Get Certified!: Exam N10-008
Chapple, Mike
Zacker, Craig
Paperback
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Grolemund, Garrett
Wickham, Hadley
Paperback
The Reverse Centaur's Guide to Life After AI: How to Think about Artificial Intelligence--Before It's Too Late
Doctorow, Cory
Paperback
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Kleppmann, Martin
Riccomini, Chris
Paperback
The Agi Chronicles: The Inside Story of the Race to Create an Artificial Superintelligence
Roose, Kevin
Hardcover
The Year in Tech, 2027: The Insights You Need from Harvard Business Review
Review, Harvard Business
Davenport, Thomas H.
Chamorro-Premuzic, Tomas
Paperback
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Soares, Nate
Yudkowsky, Eliezer
Hardcover
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
Tyrangiel, Josh
Hardcover
Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI
Suskind, Dana, MD
Hardcover
The Eureka Machine: Why AI Is the Key to Unlocking a New Era of Scientific Discoveries
Socher, Richard
Hardcover
Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)
Review, Harvard Business
Davenport, Thomas H.
Iansiti, Marco
Paperback
The Year in Tech, 2026: The Insights You Need from Harvard Business Review
Anthony, Scott D.
Webb, Amy
Review, Harvard Business
Paperback
The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
Bender, Emily M.
Hanna, Alex
Hardcover
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
Weissman, Jonathan S.
Paperback
Fans First: Change The Game, Break the Rules & Create an Unforgettable Experience
Cole, Jesse
Paperback
Generative Ai: The Insights You Need from Harvard Business Review
Mollick, Ethan
Cremer, David De
Review, Harvard Business
Paperback
A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future
Wachter, Robert
Hardcover
AI Literacy in Any Class: Preparing Students to Thrive in an AI Future in Any Grade Level or Content Area
Miller, Matt
Paperback
Obsolete: The AI Industry's Trillion Dollar Race to Replace Us--And How to Stop It
Lovely, Garrison
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Reis, Joe
Housley, Matt
Paperback
Minecraft: Guide Collection 4-Book Boxed Set (Updated): Survival (Updated), Creative (Updated), Redstone (Updated), Combat
Mojang Ab
The Official Minecraft Team
Hardcover
Love Machines: How Artificial Intelligence Is Transforming Our Relationships
Muldoon, James
Hardcover
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Crawford, Kate
Paperback
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Paperback
AI with Intention: Principles and Action Steps for Teachers and School Leaders
Frontier, Tony
Paperback
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
AP Computer Science Principles Premium, 2027: 6 Practice Tests + Comprehensive Review + Online Practice
Reichelson, Seth
Paperback
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with Llms, Tools, and Memory
Grootendorst, Maarten
Alammar, Jay
Paperback
The Black Swan: Second Edition: The Impact of the Highly Improbable: With a New Section: On Robustness and Fragility
Taleb, Nassim Nicholas
Paperback
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Witt, Stephen
Hardcover
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Géron, Aurélien
Paperback
We Are as Gods: A Survival Guide for the Age of Abundance
Diamandis, Peter H.
Kotler, Steven
Hardcover
Hbr's 10 Must Reads on Artificial Intelligence, Updated and Expanded (Featuring How AI Can Help Managers Think Through Problems by Elisa Farri and Gab
Agrawal, Ajay
Review, Harvard Business
Davenport, Thomas H.
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
Artificial Intelligence: A Guide for Thinking Humans (with a New Preface)
Mitchell, Melanie
Paperback
CompTIA Tech+ Certification All-in-One Exam Guide, Third Edition (Exam FC0-U71)
Wempen, Faithe
Paperback
AP Computer Science a Premium, 13th Edition: Prep Book with 6 Practice Tests + Comprehensive Review + Online Practice (2026)
Carman, Chris
Teukolsky, Roselyn, M. S.
Paperback
Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI
Wilson, H. James
Daugherty, Paul R.
Hardcover
Hands-On Large Language Models: Language Understanding and Generation
Alammar, Jay
Grootendorst, Maarten
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Hardcover
Power and Prediction: The Disruptive Economics of Artificial Intelligence
Agrawal, Ajay
Gans, Joshua
Goldfarb, Avi
Hardcover
Fundamentals of Software Architecture: A Modern Engineering Approach
Richards, Mark
Ford, Neal
Paperback
The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age
Turow, Joseph
Hardcover
Guilty Pleasure: The Pornification of the Internet, the Economy, and Everything Else
Nilsson, Patricia
Hardcover
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
Minecraft: Exploded Builds: Medieval Fortress: An Official Mojang Book
Mojang Ab
The Official Minecraft Team
Paperback
Tubes: A Journey to the Center of the Internet with a New Introduction by the Author
Blum, Andrew
Paperback
RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
Ghori, Asghar
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Paperback
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
Shane, Janelle
Paperback
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Huyen, Chip
Paperback
The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
Suleyman, Mustafa
Hardcover
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Kapoor, Sayash
Narayanan, Arvind
Hardcover
Artificial Intelligence All-In-One for Dummies
Mueller, John Paul
Massaron, Luca
Minnick, Chris
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Mittal, Ashwin
Sawhney, Mohanbir
Paperback
Graphic Artists Guild Handbook, 17th Edition: Pricing & Ethical Guidelines
The Graphic Artists Guild
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Humble, Jez
Debois, Patrick
Kim, Gene
Paperback
The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
Nichols, Tom
Paperback
Minecraft: Roll for Adventure: The Temple of the Charged Creeper
Forbeck, Marty
Forbeck, Matt
Hardcover
Navigeren door het labyrint: Een handleiding voor het beheer van data
Sebastian-Coleman, Laura
Paperback
Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
Buhagiar, Jon
Docter, Quentin
Paperback
AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
Miller, Matt
Paperback
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Wickham, Hadley
Grolemund, Garrett
Cetinkaya-Rundel, Mine
Paperback
Microsoft 365 Excel All-In-One for Dummies
Ringstrom, David H.
Alexander, Michael
Kusleika, Dick
Paperback
What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
Aguera Y. Arcas, Blaise
Paperback
The Technological Republic: Hard Power, Soft Belief, and the Future of the West
Karp, Alexander C.
Zamiska, Nicholas W.
Hardcover