This project is a machine learning web application that predicts the species of Iris flowers using Logistic Regression.
The model is trained on the Iris dataset, saved using Joblib, and deployed as an interactive Streamlit web app for real-time predictions.
- Iris flower species prediction
- Logistic Regression ML model
- Model persistence with Joblib
- Interactive Streamlit web interface
- Python
- Scikit-learn
- Streamlit
- Joblib
pip install -r requirements.txt
streamlit run app.py