Skip to content

Latest commit

 

History

History
21 lines (11 loc) · 873 Bytes

README.md

File metadata and controls

21 lines (11 loc) · 873 Bytes
Raw

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/