Book overview
(Featured and recommended by Tableau as the first of "7 Books About Machine Learning for Beginners")Want to add 'Machine Learning with Python' to your LinkedIn profile and create your own real estate prediction model?This book and the others in this series will help you do just that. Whether you're an absolute beginner or simply looking to refresh your knowledge, this first book provides the essential skills and hands-on experience needed to build your first predictive model in Python.
- Data cleaning and preparation techniques, including one-hot encoding, binning, and handling missing values
- How to prepare data for accurate analysis using methods like k-fold validation
- Regression analysis to identify trends and make predictions
- k-means clustering to uncover hidden patterns and relationships in data
- The fundamentals of neural networks and how modern AI systems learn
- A step-by-step beginner project to predict house pricesusing Python and machine learning
A: This book is designed for absolute beginners, so no programming experience is required.
Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?
A: As the same topics from the Second Edition are covered in the Third Edition, you would be better served by reading a more advanced book on machine learning and AI. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author.
Q: Does this book include everything I need to become a machine learning expert?
A: Unfortunately, no. This book is designed for beginners and further learning will be required beyond this book to master AI and machine learning and become the next Andrew Ng.
What Makes This Book Different?
Many machine learning textbooks for beginners aren't truly written for beginners.This book was designed specifically for people starting from zero. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along.
This new edition features extended chapters with quizzes, updated code for 2026, an easy introduction to coding with Python as well as downloadable resources not included in the Second Edition.
What You Will Learn- How to find and download free datasets for machine learning projects
- Data cleaning and preparation techniques, including one-hot encoding, binning, and handling missing values
- How to prepare data for accurate analysis using methods like k-fold validation
- Regression analysis to identify trends and make predictions
- k-means clustering to uncover hidden patterns and relationships in data
- The fundamentals of neural networks and how modern AI systems learn
- A step-by-step beginner project to predict house pricesusing Python and machine learning
Machine learning doesn't have to be intimidating. This book gives you the skills to build your first prediction model in Python, step by step.
Scroll up and click "Buy Now" to get started right awayFrequently Asked QuestionsQ: Do I need programming experience to complete this book?
A: This book is designed for absolute beginners, so no programming experience is required.
Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?
A: As the same topics from the Second Edition are covered in the Third Edition, you would be better served by reading a more advanced book on machine learning and AI. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author.
Q: Does this book include everything I need to become a machine learning expert?
A: Unfortunately, no. This book is designed for beginners and further learning will be required beyond this book to master AI and machine learning and become the next Andrew Ng.
