Project Details

This project aims to improve investment strategies for Initial Public Offerings (IPOs) using advanced data analytics and machine learning techniques. By analyzing a dataset with various IPO metrics, including issue size, subscription rates, and listing gains, the project builds a predictive model to classify IPOs based on their potential profitability.