Diabetes Prediction
- Built a model that predicts the status of diabetes in a human body.
- Data was sourced from kaggle dataset.
- Performed data cleaning and data transformation to enable the data to be ready for excellent analysis
- Models employed: Random Forest, Logisitics Regression, Decision Tree and Neural Network.
- Deep learning performed best with an accuracy of 99.6%
- Skills employed include Python, Matplotlib, Sklearn, Logistics Regression, Random Forest Classifier, Decision Trees Classifier, Flask, Neural Network.
- Click to run application.
- Github link