Python Project – Predicting Indian IPO Gains with Deep Learning

Project Goal: Develop deep learning classification models to predict whether there will be listing gains for Initial Public Offerings (IPOs) in the Indian market

Project Outcome: Built and evaluated models using the sequential and functional APIs, plus an optimized model, achieving test accuracies of 76.43%, 71.90%, and 70.54%, respectively. The sequential model has a slight edge overall

Project Methods: Conducted EDA, visualized key variables, and transformed the target variable into a binary format. Cleaned and prepared the dataset for modeling, built models using sequential and functional APIs, and optimized hyperparameters