https://github.com/swapnilvishwakarma/iris-ml

A Flask-based Machine Learning Web App deployed on Heroku that uses API to classify the type of Iris flower based on its sepal length, sepal width, petal length, and petal width.
https://github.com/swapnilvishwakarma/iris-ml

flask heroku iris-dataset machine-learning sklearn svm webapp

Last synced: about 2 months ago
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A Flask-based Machine Learning Web App deployed on Heroku that uses API to classify the type of Iris flower based on its sepal length, sepal width, petal length, and petal width.

• Host: GitHub
• URL: https://github.com/swapnilvishwakarma/iris-ml
• Owner: swapnilvishwakarma
• License: mit
• Created: 2021-03-24T07:33:31.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-03-29T07:58:44.000Z (about 5 years ago)
• Last Synced: 2026-04-30T06:39:44.009Z (about 2 months ago)
• Topics: flask, heroku, iris-dataset, machine-learning, sklearn, svm, webapp
• Language: HTML
• Homepage: https://iris-webapp-ml.herokuapp.com/
• Size: 4.92 MB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Iris Flower Prediction

A Machine Learning Web App, Built with Flask, Deployed using Heroku.

Here is a short demo:

 

    



Try it out: [💮 Iris Flower Prediction 💮](https://iris-webapp-ml.herokuapp.com/)