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Home > Computing and Information Technology > Computer programming / software engineering > Programming and scripting languages: general > Python Machine Learning for Beginners: A Hands On, Code First Guide to Building Intelligent Systems
Python Machine Learning for Beginners: A Hands On, Code First Guide to Building Intelligent Systems

Python Machine Learning for Beginners: A Hands On, Code First Guide to Building Intelligent Systems


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About the Book

Python Machine Learning for Beginners: A Hands-On, Code First Guide to Building Intelligent Systems Overview: Python Machine Learning for Beginners is your practical introduction to the exciting world of AI-powered systems. This hands-on guide walks you through the fundamentals of machine learning using real Python code and real-world examples. From simple models to more complex algorithms, the book demystifies core concepts and shows you how to build intelligent systems that learn from data step by step. Designed for aspiring data scientists, developers, and tech enthusiasts, this book skips theory-heavy explanations and dives straight into building projects. Whether you're looking to automate tasks, make predictions, or understand how recommendation engines work, you'll learn by doing and gain the skills to apply machine learning in your own applications. This beginner-friendly guide introduces Python-based machine learning using a code-first approach. You'll explore essential algorithms such as linear regression, decision trees, k-nearest neighbors, and neural networks all through hands-on coding exercises. The book helps you set up your environment, load datasets, visualize data, train models, and evaluate performance. You'll also build mini-projects to reinforce your understanding and see real use cases in action. Key Features of this Book: Beginner-focused explanations with minimal jargon Full code examples using Python, scikit-learn, pandas, and matplotlib Clear, structured walkthroughs of key machine learning algorithms Real-world projects including classification, clustering, and regression tasks Tips for troubleshooting, improving accuracy, and avoiding common pitfalls Bonus appendix with Python and math refreshers This book is ideal for Python beginners, students, early-career professionals, and self-taught programmers who want to break into machine learning. No prior experience in data science or AI is required just a basic understanding of Python and a willingness to learn by doing. Ready to unlock the power of machine learning with Python? Python Machine Learning for Beginners gives you the tools and knowledge to go from zero to building your own intelligent systems. Get your copy today and start coding your future in AI!


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Product Details
  • ISBN-13: 9798292993872
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 118
  • Returnable: N
  • Sub Title: A Hands On, Code First Guide to Building Intelligent Systems
  • Width: 178 mm
  • ISBN-10: 8292993878
  • Publisher Date: 18 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 6 mm
  • Weight: 272 gr


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