This repository contains Python implementations of decision tree algorithms, specifically Gini and ID3. It is designed to serve as a resource for understanding and applying decision tree methodologies in machine learning.
data/: Contains sample dataset used for training and testing.outputs/: Stores the results and outputs generated by the models.
To use the decision tree implementations, clone the repository and run the provided Python files with your dataset.