Machine Learning for Beginners: Build Predictive AI Models, Master Python, and Unlock Real-World Data Science Skills
About this audiobook
Master Machine Learning – Even If You're Just Starting Out.
Want to break into AI, data science, or Python programming but don’t know where to start? This beginner-friendly guide gives you a practical path to mastering machine learning — without needing a PhD or years of coding experience.
Inside this book, you’ll learn how to:
✅ Build predictive AI models from scratch
✅ Use Python to analyze real-world data
✅ Understand key algorithms like regression, decision trees, and neural networks
✅ Apply machine learning to real business, healthcare, and finance problems
Whether you’re looking to land a job in tech, build smarter tools, or understand the future of AI, this hands-on book gives you the skills to get started fast.
No fluff. No jargon. Just real skills for the AI era.
Start building your first machine learning model today.
About the author
Lucas Everett is a passionate educator, software developer, and futurist dedicated to making cutting-edge technology accessible to everyone—regardless of background or experience level. With over a decade of hands-on expertise in programming, artificial intelligence, and machine learning, Lucas specializes in translating complex technical concepts into practical, easy-to-follow guides for aspiring coders, professionals, and lifelong learners.
He is the author of several bestselling tech guides, including Python for Absolute Beginners, AI Crash Course 2025, ChatGPT for Coders, Machine Learning for Beginners, and The Future of Work. His books are designed to empower readers with the skills they need to build real-world projects, automate repetitive tasks, and stay competitive in a rapidly evolving job market.
Lucas began his career in software engineering but quickly transitioned into mentoring and technical writing after discovering a deep satisfaction in helping others overcome the learning curve of modern programming. His teaching style emphasizes clarity, project-based learning, and future-readiness—ensuring readers not only absorb theory but also gain the confidence to apply it.
When he’s not writing or coding, Lucas stays engaged with the global tech community through workshops, developer forums, and educational content creation. His mission is simple: to help you unlock your full potential in the AI-powered digital age.
