Hello there,
Almost a handful of months ago I was asked to develop a project for data visualization on specific machine learning algorithms and concets such as Binary Classification and Explainable AI (XAI). The project is done but since I was new to the concept of django I feel it can be throughtly improved.
My initial thought was to improve how I handle the datasets in the backend. Right now, I am dealing with a few datasets in the backend all stored in folders that the many functions can access. The operations needed for this platformm is just acceessing the datasets and the different pre computed graphs associated with them. Each dataste has its own folder containing unique graphs in interactive format and some information in a json file for that dataset.
I was thinking its about time to improve on that built and but I am not sure where to start. What would be a good practice for such a platform?
Thanos