How interested are you in classic machine learning tasks or NLP and CV tasks?

Interest in classical machine learning tasks, as well as NLP (natural language processing) and CV (computer vision), depends on the specialization and goals of the project.

Classical machine learning tasks include regression, classification, clustering, etc. They are useful for a wide range of applications where interpretability and working with tabular data are important.

NLP and CV tasks are more specific and require working with text and images respectively. They often utilize deep neural networks and require large amounts of data and computational resources.

If you are interested in natural language processing or image analysis, it is worth delving into the relevant methods and libraries (for example, Transformers for NLP, OpenCV and CNN for CV). If your task is related to analyzing structured data, classical machine learning methods will be more relevant.