🌸 Iris Flower Classification

This project classifies Iris flowers into three species — Setosa, Versicolor, Virginica — using Machine Learning (Logistic Regression).

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📌 Steps

1. Data Loading (scikit-learn Iris dataset)
2. Exploratory Data Analysis (pairplot, distributions)
3. Train/Test Split
4. Feature Scaling
5. Model Training (Logistic Regression)
6. Model Evaluation (Accuracy, Confusion Matrix, Classification Report)

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📊 Results

• Accuracy: ~96%
• Model: Logistic Regression
• Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn

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🚀 How to Run

# Clone repo
git clone https://github.com/sanc0o0/Iris-Flower-Classification.git
cd Iris-Flower-Classification

# Install dependencies
pip install -r requirements.txt

# Run project
python flower_classification.py