This repository contains the code examples from the Packt book on applying machine learning to algorithmic trading. It covers supervised and unsupervised algorithms for extracting trading signals, reinforcement learning for strategy design, and integration with Quantopian for live trading. The notebooks demonstrate how to leverage market, fundamental, and alternative data with Python ML libraries.