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Data That Decides 2026: A Beginner's Hands-On Journey Through Machine Learning with Python
Paperback
Series: The New Time Developers
Publisher: Independently Published
Published: Jun 20 2026
Pages: 588
Weight: 2.96
Height: 1.19 Width: 8.50 Depth: 11.00
Language: English
Have you ever wondered how companies seem to know what products you might buy next?
Have you ever asked yourself how streaming platforms recommend movies, how banks detect fraud, how businesses predict customer behavior, or how modern systems make decisions using data?
More importantly, have you looked at machine learning and thought:
This sounds exciting, but where do I even begin?
If that sounds familiar, then Data That Decides 2026: A Beginner's Hands-On Journey Through Machine Learning with Python was written for you.
What if you could move beyond hearing about artificial intelligence and actually understand how machine learning works?
And what if you could do it without feeling overwhelmed by technical jargon, complicated theory, or advanced mathematics?
This book was created to help complete beginners build practical machine learning skills step by step.
Instead of presenting machine learning as an abstract subject, Paul K. Beall focuses on real-world understanding, helping you see how data is collected, prepared, analyzed, and transformed into systems that can learn from experience and make predictions.
Throughout the book, you will discover answers to questions such as:
What is machine learning, and why is it changing so many industries?
How do computers learn patterns from data?
Why do some predictive models perform better than others?
How can businesses use data to improve decisions?
Most importantly, you will gain practical knowledge you can apply immediately.
Inside, you will learn how to:
Work confidently with Python for machine learning projects
Understand structured and unstructured data
Collect, clean, organize, and prepare datasets
Build complete machine learning workflows
Evaluate model performance using professional techniques
Improve models through optimization and tuning
Explore the foundations of deep learning and neural networks
Deploy machine learning models for real-world use
You will also work through practical projects inspired by challenges faced by real organizations, including:
Student performance prediction
House price forecasting
Customer churn prediction
Spam email classification
Why does this matter?
Because organizations in every industry now rely on data to guide decisions, improve efficiency, reduce risk, and discover new opportunities.
The demand for people who can understand data, build predictive systems, and communicate insights continues to grow across business, technology, healthcare, finance, education, marketing, and many other fields.
The ability to think with data is rapidly becoming one of the most valuable professional skills of the modern era.
Whether you are a student, aspiring data scientist, business professional, programmer, entrepreneur, career changer, or curious learner, this book provides a structured and practical path into machine learning.
You do not need years of coding experience.
You do not need an advanced degree.
You do not need a background in statistics or artificial intelligence.
Every machine learning expert started as a beginner who decided to take the first step.
So ask yourself:
Are you ready to understand how intelligent systems learn from data?
Are you ready to build skills that organizations actively seek?
Are you ready to discover how data becomes decisions?
Start your journey today and learn the skills, concepts, and practical techniques that can help you confidently enter the world of machine learning and data-driven decision-making.
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