This project draws on data from a comprehensive national health survey of United States, alongside responses from a
Kaggle dataset of 441,455 individuals.
By applying data exploration, model training, and evaluation, two high-performing models were identified:
This Django application allows users to enter their information for personalized risk predictions.
Note: Results should be verified by a healthcare professional.
Special thanks to all the data scientists who have shared their expertise on Kaggle.
This project showcases the impact of Data Science in making predictive analytics accessible across fields like healthcare, quality control, and consumer insights.