This course integrates machine learning with quantitative trading to build advanced, data-driven investment strategies. Learners explore supervised and unsupervised models, feature engineering, time-series forecasting, deep learning architectures, and reinforcement learning frameworks. The course highlights practical applications of ML in signal generation, risk modeling, and portfolio optimization. Designed for quants, traders, and analysts, it provides the analytical and technical depth required to build intelligent trading systems in modern financial markets.