Django webapp integrated with machine learning model to predict the survival status of titanic passengers.
Live Demo : www.titanicprediction.ml
Technologies i used to build this project:
- Scikit learn - To build Machine Learning model
- Django - Django Backend Framework
- Pickle - Pickle to save/load model to the web application environment
- AWS EC2 - Django application deployed on AWS EC2
- Free Template - Template startercode from Bootstrapmade.com
- Using Nginx, Gunicorn, Supervisor in AWS Instance to serve the project.
This project requires Python 3.6 or more.
Clone the repository than execute below commands and make sure virtualenv activated
$ cd titanic-survival-prediction-webapp
$ pip install -r requirements.txt
$ python manage.py migrate
$ python manage.py runserver Then go to http://127.0.0.1:8000.
You will see below like screen.
