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.
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