## Iris Flower Classification
A Machine Learning classification project that predicts the species of an iris flower based on its sepal and petal measurements. The project uses the well-known Iris dataset and builds a classification model to distinguish between , Versicolor, and Virginica**.
The project covers the complete basic Machine Learning workflow, including data exploration, feature and target separation, train-test splitting, feature scaling, model training, evaluation, and prediction on new data.