Iris

This is a small Iris classifier demo with three parts:

data/iris_data.csv contains the Iris dataset used for training
model/model.pkl contains a trained model
notebook/Iris.ipynb is the notebook where the model is built and evaluated
app.py is a Streamlit app where you can enter flower measurements and get a prediction

Run the app

Create/activate a virtualenv (recommended), then install dependencies:
- pip install -r requirements.txt
Start Streamlit:
- streamlit run app.py

Use the inputs in the UI:

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
__pycache__		__pycache__
data		data
iris_venv		iris_venv
model		model
notebook		notebook
README.md		README.md
app.py		app.py
requirements.txt		requirements.txt