Advice in practising Data Science

I build personal projects as a way to practice data science but I was wondering if it's normal or weird to apply XGBoost for example, to all my projects? Should I try several different models in each project? Or does it really depend on what you're trying to achieve? I just want to understand what a normal process looks like.

advice data data science datascience science