A machine learning project to classify iris flower species based on petal and sepal measurements using classical classification algorithms.
This project uses the famous Iris Dataset to train and evaluate machine learning models for classifying three iris species:
- Iris Setosa
- Iris Versicolor
- Iris Virginica
Based on the following features:
- Sepal Length
- Sepal Width
- Petal Length
- Petal Width
- Python
- pandas, NumPy
- scikit-learn (SVM, KNN, Decision Tree, Logistic Regression, etc.)
- Matplotlib, Seaborn (for data visualization)