Mastering Machine Learning A-Z Guide to Python, Keras, and Scikit-learn for Real-World Applications

Kenji Aya, an expert in machine learning and AI, brings his practical experience and deep industry knowledge to this book. With years of hands-on expertise in applying Python, Keras, and Scikit-learn to solve real-world problems, this book is a trusted resource for anyone looking to enhance their ML skills.
"Mastering Machine Learning: A-Z Guide to Python, Keras, and Scikit-learn for Real-World Applications" is a comprehensive guide designed to help you master machine learning, from basic principles to advanced topics. Packed with practical examples, hands-on projects, and step-by-step tutorials, this book provides the tools you need to build and deploy machine learning models in real-world scenarios, whether you're predicting customer behavior, recommending products, or analyzing images.
What's Inside:Core concepts of machine learning, including supervised and unsupervised learningHands-on projects: sentiment analysis, recommendation engines, object detection, and time series forecastingBest practices for working with Python, Keras, and Scikit-learnModel deployment strategies and scaling for production environmentsReal-world applications in areas like game AI, robotics, and mobile devicesWhether you are a beginner stepping into the world of machine learning or an experienced data scientist looking to expand your skill set, this book is for you. With a focus on Python, Keras, and Scikit-learn, the book caters to a broad audience, from students to professionals in tech-driven fields.
Time is of the essence. In just a few weeks, with easy-to-follow tutorials and real-world projects, you'll acquire the expertise needed to apply machine learning in real-world scenarios. Each chapter builds progressively, making complex concepts manageable and actionable.