I am currently working on a machine-learning based-project and I require some help regarding the modeling step. I found that LogisticRegression was the most suitable one for my dataset, it is giving me good accuracy but I believe it can be improved even more by tuning some hyperparameters. Although I am familiar with what hyperparameters are, I do not know which ones are the most crucial ones for LogisticRegression, can anyone provide me example codes that I can use to tune these important hyperparameters and also, a small description of the hyperparameters will be helpful too. You can use any of the built-in datasets of the Python library for your example codes.