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# Iris Flower Classification 🌸

This project demonstrates data exploration and classification on the Iris dataset.

## Dataset
- Source: Kaggle
- 150 samples
- 3 classes: Setosa, Versicolor, Virginica
- 4 features: Sepal & Petal measurements

## Steps
- Exploratory Data Analysis (EDA)
- Data Visualization (Seaborn, Matplotlib)
- Classification using ML models

## Tools
- Python
- Pandas
- Seaborn
- Matplotlib
- Scikit-learn

## Result
Petal length and petal width are the most informative features for classification.

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Iris EDA + visualization + classification (Kaggle CSV)

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