Explore additional ML/DL model for Deep AQAtik

Currently for Deep AQAtik project, we evaluate multiple ml models (e.g. Random Forest, Decision Tree, etc.) and select the one with best performance to deploy.
We can further explore more advanced/suitable models to improve the performance.

The issue names no files, tests, or entry points; start by locating the Deep AQAtik model evaluation and deployment workflow. Compare additional ML/DL models using the existing performance criteria, and consider the work done when a candidate demonstrates improved performance and is suitable for deployment.

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