This repository gives a brief hands-on code on how a machine learning model is deployed with flask.

The styling for the webpage has been taken from --> https://github.com/krishnaik06/Deployment-flask

The Iris dataset has been been taken & the model uses Support Vector Machines for classification of the each of the 3 different species, with an accuracy of 97.77%..

Corresponding screenshots of the deployment can be found in this repository.