This is my first project to practice Machine Learning Algorithm. A iris flower classification with the dataset in framework sklearn

This data sets consists of 3 different types of irises’ (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray The rows being the samples and the columns being: Sepal Length, Sepal Width, Petal Length and Petal Width Three different types of irises:

Plot the dataset:

Dataset link: https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html

Environment: Visual Studio Code

The directory structure:

Iris_Flower_Classification/
    ├── Iris_Flower_Classification.py
    └── plot.ipynb