- Final Internship Report
- Employed machine learning techniques to identify key features for predicting diabetes using Python. Investigated multiple
- Model accuracy of 86% for Pima Indians Diabetes dataset (768 rows) and 75% accuracy for Diabetes Readmission dataset (over 100k rows
- Implemented Generative Adversarial Networks (GANs) to augment new patient data