Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras
Key Features
[*]Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras
[*]Implement advanced concepts and popular machine learning algorithms in real-world projects
[*]Build analytics, computer vision, and neural network projects Book Description
Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects.
The book begins by giving you an overview of machine learning with Python....
