Used KNN, Decision Tree, and Random Forest to classify patients in the Drug200 dataset based on age, sex, BP, cholesterol, and Na-to-K ratio. The goal was to predict the most suitable drug from five options using patient health data.
- K-Nearest Neighbors (KNN)
- Decision Tree
- Random Forest
- Source: Kaggle-Drug200
- License: Unknown
This project is licensed under the MIT License.