Questions

Awesome! The Iris dataset is a classic in machine learning. It contains 150 samples of iris flowers from three species:

• Iris setosa

• Iris versicolor

• Iris virginica

Each sample includes 4 features (numerical measurements in cm):

1. Sepal length

2. Sepal width

3. Petal length

4. Petal width

It's often used for classification problems, especially to test algorithms like k-NN, SVM, decision trees, etc.

Would you like to load it in Python or explore some visualizations?