This repository is dedicated to predicting whether a patient has diabetes using data from the National Institute of Diabetes and Digestive and Kidney Diseases, employing a boosting model.
Exploratory Data Analysis: Full exploratory data analysis can be found here.
The main notebook, Diabetes_Boosting.ipynb, containing all the code, is located in the src folder. This notebook extensively compares the performance, measured by accuracy, of both the optimized and non-optimized boosting models.
The models folder houses the stored models resulting from the analysis and estimations.
Feel free to delve into the notebook and explore the models to gain insights into the predictive capabilities of the boosting model in determining diabetes. If you have any questions or suggestions, feel free to open an issue or contribute to the project. Happy predicting! 🩺📊