Supervised Learning: Regression & Classification

Unlock the power of supervised machine learning with this concise and practical guide. Supervised Learning: Regression & Classification offers a clear and accessible introduction to two of the most widely used techniques in data science.

This book covers the core principles, algorithms, and applications of regression and classification, equipping readers with the tools to solve real-world problems. Whether you’re predicting numerical outcomes or classifying data into distinct categories, this guide provides step-by-step explanations, practical examples, and coding exercises to help you master these essential skills.

Perfect for beginners and professionals alike, this book bridges the gap between theory and practice, making complex concepts easy to understand and implement. Discover how supervised learning can transform your data into actionable insights!