In this project, we applied deep learning techniques to the Horse Colic dataset, aiming to predict survival rates in horses based on various medical attributes. The dataset provides valuable insights into equine health, making it a suitable challenge for exploring predictive models in healthcare.
Collaborating with two classmates, I played a key role in implementing the deep learning model using Matlab. My responsibilities included data preprocessing, model development, and performance evaluation, ensuring that our model could accurately predict outcomes based on the input features.