Gangadharbhuvan/Django_webapp_iris_classification

Django_webapp_iris_classification

Creating a Webapp using Django with Python to perform classification on iris followers dataset.

Steps

• Creating a virtual environment
  python -m venev iris_api
cd iris_api
.\iris_api\Scripts\activate
  
  
  

• Git Clone

  git clone https://github.com/Gangadharbhuvan/Django_webapp_iris_classification.git
  
  

• Run

  Find path to manage.py file
  python manage.py runserver
  
  

Go to Localhost 8000 port, and change to prediction page, Copy the path and use Postman for request using POST method and enter the values for

• sepal_length (values - min_value=4.3, max_value=7.9 )
• sepal_width (values - min_value=2.0, max_value=4.4 )
• petal_length (values - min_value=1.0, max_value=6.9 )
• petal_width (values - min_value=0.1, max_value=2.5 )

Django REST Framework

Postman API results