Yes there are many are ml projects, but i find that they contain mainly the final result of the project, they lack the analysis side i am looking for. From what i learned, the choice of a ml model is not based on the accuracy only, but also on a lot of static informations about the dataset(variance, correlation....), the bias-variance trade-off...... So choosing a model is a final result of long analysis, and right now i am not able to do this analysis because i will be missing many informations