The research project addresses the need to directly apply machine learning methods in cross-sectional stock analysis. The focus is on predicting stock returns and forming long-short portfolios by employing various learning algorithms. While traditional asset pricing models predict next-month returns, this project aims to explore more direct approaches to ranking stock returns through advanced machine learning techniques.