Veronica is a machine learning based web app design for the prediction of famous Iris Dataset. The Iris Dataset contains four features (length and width of sepals and petals) of 50 samples of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). These measures were used to create a linear discriminant model to classify the species. The dataset is often used in data mining, classification and clustering examples and to test algorithms.
- Install important libraries
~> pip install pandas
~> pip install scikit-learn
~> pip install streamlit- Clone the Repository
~> git clone https://github.com/ankitdobhal/Veronica.git- Run this command inside Veronica folder
~> streamlit run veronica.py
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This project follows GPL-3.0-License.