Add a Django container for ML purposes

[Rubix982]

Introduce a new container to which the backend can send API requests to. This container will be Django based and is coded with Django, Python, and a Jupyter Notebook, with the help of Django Rest Framework, it will allow access to any calls or requests to get a response from a Machine Learning Model. Trained.

This helps in two ways,

1. Instead of integrating Python and ASP.NET directly for the purposes of ML model building, testing, and deployment, it is now loosely coupled by introducing a container that is all Python-based, and which simply needs a request-response architecture.
2. The model and research building is now completely separated from the actual backend and the frontend. Each can continue development without being a blockade for the others.