The ultimate aim is to create a web application which can predict the mileage of the car based on user inputs.

Steps involved:

• training the Random Forest Regressor model with auto-mpg dataset(available in kaggle) and make predictions with test data in Anaconda environment
• Setup Django in virtual environment and install the required packages/libraries
• Front-end development for user to give inputs to the model(form-based) and obtain predictions
• MongoDB connection with Django server
• Option to user to update the data in database
• Deploy the model for serving it in Django

    python manage.py makemigrations
    python manage.py migrate

    python manage.py createsuperuser

    python manage.py runserver

    python manage.py collectstatic