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iris flower predictions Machine Learning app using Tensorflow, Keras, ScikitLearn, Flask deployed on Heroku

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ptyadana/iris-flower-ML-app

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Iris Flower Prediction ML App

ML app for predicting Iris flower species based on given features.

Built with

  • pandas - fast, powerful, flexible and easy to use open source data analysis and manipulation tool
  • Scikit-learn - Simple and efficient tools for predictive data analysis
  • TensorFlow - An end-to-end open source machine learning platform
  • Keras - Deep Learning framework
  • Flask - a micro web framework written in Python

Iris Flower App

Let's try out on heroku.

Iris Flower REST API Endpoint

/api/iris POST: get the flower prediction

Sample JSON

{"sepal_length":5.1,
"sepal_width":6,
"petal_length":1.4,
"petal_width":4}

iris.gif

References

This is based on final project of Complete Tensorflow 2 and Keras Deep Learning Bootcamp with additional tweaks.

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iris flower predictions Machine Learning app using Tensorflow, Keras, ScikitLearn, Flask deployed on Heroku

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