A simple machine learning project to classify iris flowers using Python and scikit-learn.
The famous Iris dataset containing:
- Sepal length & width
- Petal length & width
- 3 classes: Setosa, Versicolor, Virginica
- Logistic Regression
- K-Nearest Neighbors (KNN)
- Support Vector Machine (SVM)
iris_classification/ β βββ iris.ipynb # Jupyter notebook with training & testing βββ iris.csv # Dataset
pip install -r requirements.txt