Task 02:- Iris Flower Classification:- Iris dataset: A classic dataset containing measurements of Iris setosa, versicolor, and virginica flowers. Features: Sepal length, sepal width, petal length, petal width. Target variable: Species of the Iris flower (Setosa, Versicolor, Virginica). I used MACHINE LEARNING techniques like Classification task: Identifying the category (species) of a flower based on its features & Supervised learning: The model learns from labeled data (flowers with known species). Application of this program is :-Machine learning introduction: A beginner-friendly project demonstrating core concepts. Supervised learning practice: A practical example of training a model for classification. Data exploration and visualization: Understanding data analysis techniques.