This is my first machine learning project, built as part of my journey into data science and AI engineering.
It trains and evaluates a decision tree classifier on the classic Iris dataset.
iris-classifier/ ├── data/ # (empty – dataset is loaded from scikit-learn) ├── notebooks/ │ └── iris_model.ipynb # interactive notebook with training & evaluation ├── src/ │ └── train.py # reproducible training script (CLI) ├── tests/ │ └── test_train.py # optional unit test for accuracy ├── outputs/ # confusion matrix plots & saved outputs ├── .gitignore ├── LICENSE ├── README.md └── requirements.txt