Applied Machine Learning Real-World Case Studies Using Python Hands-On Exercises and Industry Use Cases

Applied Machine Learning: Real-World Case Studies Using Python
Hands-On Exercises and Industry Use Cases
Machine learning is reshaping industries by enabling automation, prediction, and data-driven decision-making. “Applied Machine Learning: Real-World Case Studies Using Python” provides a hands-on approach to mastering ML through practical exercises and real-world applications.
This book covers essential Python-based machine learning techniques, real-world case studies, and model deployment strategies, making it ideal for beginners, data practitioners, and professionals looking to implement ML in fields like healthcare, finance, retail, and transportation.
With step-by-step exercises, industry use cases, and career insights, this guide bridges the gap between theory and application, equipping readers with the skills needed to solve real-world problems using machine learning.
“Machine learning isn’t just about algorithms—it’s about applying them to drive real impact.”