Python Machine Learning, This Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you will keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the course covers all the essential machine learning techniques in depth. While some course teach you only to follow instructions, with this machine learning course, we teach the principles behind machine learning, allowing you to build models and applications for yourself. Updated for TensorFlow 2.0, this new edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It is also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this course also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. This course is your companion to machine learning with Python, whether you are a Python developer new to machine learning or want to deepen your knowledge of the latest developments.