πΊ Iris Flower Classifier and Visualization App πΊ
This Streamlit app helps you predict the species of an Iris flower π based on its measurements! π
Features β¨
- Easy to Use Interface: Input flower measurements with simple sliders ποΈ.
- Accurate Predictions: Powered by a trained machine learning model π§ for reliable results.
- Clear Results: See the predicted species along with your input measurements π.
How to Run π
- Active the Virtual Enviroment: (run below command if you want to use virtual environment on Linux)
. venv/bin/activate
- Install the Essentials:
pip install -r reqiurments.txt
- Start the App:
streamlit run streamlit_app.py
Usage
- Open the app in your web browser π.
- Adjust the sliders to enter the sepal and petal measurements.
- Click βPredictβ to see the magic! πͺ
- The predicted Iris species will be displayed.
Built With π οΈ
- Streamlit: For building the interactive web app β¨.
- Scikit-learn: For training the machine learning model π§ .
- Pandas: For handling the Iris dataset π.
Contributing π€
Want to help improve the app? Feel free to open an issue or submit a pull request! π