This repository contains chapter-by-chapter code examples demonstrating machine learning concepts using TensorFlow. It covers foundational topics including regression, classification, clustering, hidden Markov models, autoencoders, reinforcement learning, and convolutional neural networks. Each chapter includes runnable notebooks with step-by-step implementations aligned with the book’s explanations.