vmd7 / decision-tree-classifier-of-iris-dataset

This is simple automatic Iris plant classifier using Decision Tree Classifier algorithm and Heroku Cloud Application Platform. This app takes input as features of Iris plant and classify it using Decision Tree Classifier algorithm.

Iris Plant Classifier

This is Task-6 of The Sparks Foundation GRIP. In this task we have to classify the data with the help of Decision Tree Classifier algorithm and visulize it also.

In this repository I used Decision Tree Classifier algorithm to identify the class of a Iris plant based on its features.

Also, I deployed this Machine Learning model on Heroku and created a Web-App (https://irisp.herokuapp.com/).

Code of Iris Plant Classifier

To understand this repository follow the below steps:

1. First Clone, Fork or Download this repository or you can run Task6Colab.ipynb on Google Colab.

2. The dataset used is (https://bit.ly/3kXTdox).

3. Now, you can run Task6.ipynb or Task6Colab.ipynb file locally or online.

4. All, the uses and instructions are written in code file itself.

You can check the deployed App on https://irisp.herokuapp.com/