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