The Iris Flower Classifier is a machine learning project that predicts the species of an Iris flower based on its petal and sepal measurements. It uses a logistic regression model trained on the famous Iris dataset. This project is a simple example of a supervised classification task in the field of machine learning.
Use the package manager pip to install the required dependencies.
pip install -r requirements.txtTo run the Iris Flower Classifier, execute the following command in your terminal:
streamlit run streamlit_app.pyThis will launch a Streamlit web application where you can interact with the classifier.
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This project is distributed under the terms of the MIT License.