Term project for the course "Machine Learning and Pattern Recognition (CSE 583)", Spring 2020.
Developed a predictive model using binary classification algorithms to identify potent drug candidates using the existing knowledge of drugs. The dataset was obtained from Kaggle having features like drug chemical structures, drug-drug and drug-disease correlations.