A simple and interactive Streamlit app to predict Iris flower species using machine learning models.

• Predict Iris species based on sepal and petal measurements
• Choose from 3 classifiers: Support Vector Machine, Logistic Regression, Random Forest
• Dynamic sliders to adjust input features
• View prediction and model accuracy instantly

1. Clone the repo and navigate to the folder
2. Install dependencies:

pip install -r requirements.txt

3. Make sure iris-species.csv is in the project directory

streamlit run improved_iris_app.py

• Use sidebar sliders to input feature values
• Select your preferred classifier
• Click Predict to see the flower species and model accuracy

• streamlit==0.83.0
• numpy==1.22.2
• pandas==1.2.4
• matplotlib==3.4.2
• seaborn==0.11.1
• scikit-learn==0.24.2

Enjoy exploring Iris classification with ease! 🌼