🌸 Iris Flower Classification using KNN

This project uses the Iris dataset and a K-Nearest Neighbors (KNN) algorithm to classify iris flowers into three species: Setosa, Versicolor, and Virginica.

📘 Overview

The Iris dataset is a classic dataset in machine learning and statistics, containing 150 samples with 4 features:

• Sepal Length (cm)
• Sepal Width (cm)
• Petal Length (cm)
• Petal Width (cm)

Using these features, the model predicts the species of an iris flower.

🚀 Model Used

• Algorithm: K-Nearest Neighbors (KNN)
• Library: Scikit-learn (sklearn)
• Distance Metric: Euclidean distance
• Best k-value: Selected using accuracy evaluation on validation data