A framework to predict ignition delay using GMM, Spath, multiple regression and error based tertiary tree algorithms to generate training models. Extreme points of the cluster are utilized to make the correct identification of cluster and test predictions.

Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.

Energy-Efficient Buildings

Machine Learning projects on Airbnb price prediction and churn classification