Working with imbalanced Datasets.

So you have been doing some deep learning, training some models using TensorFlow, PyTorch, or whatever library you are fond of. You feel like you are getting a grip on this thing and think it can turn out as a possible career option. Then comes the first professional assignment, it could be a freelance project you take up or something your company assigns to you and boom you feel like a person on a raft out in the sea, and nothing to guide you. Well, when working with datasets of the self-created origin or something that isn't a part of the precreated dataset pipelines created out there then there are several problems you may face. How do I clean this dataset?