Iris Dataset - Exploratory Data Analysis and Simple Classification

This project performs basic exploratory data analysis (EDA) and a simple K-Nearest Neighbors (KNN) classification on the Iris dataset using Python.

Project Overview

• Load and explore the Iris dataset
• Visualize the data with histograms, boxplots, and pairplots
• Build a simple KNN model to classify Iris species
• Evaluate model performance using accuracy, confusion matrix, and classification report

How to Run

1. Clone the repository
2. Install dependencies: