Machine Learning for Trading

In this course, students will gain a comprehensive understanding of how machine learning is applied to trading in financial markets. They will learn how to use machine learning algorithms to analyze market data, develop trading strategies, and make trading decisions. Topics covered will include data preprocessing, feature engineering, model selection, and evaluation. Students will also have the opportunity to work on real-world trading projects and gain practical experience using machine learning tools and techniques in a trading context. By the end of this course, students will be equipped with the knowledge and skills to apply machine learning to trading in financial markets effectively.