Random Forest Classifier has three important parameters in Scikit implementation:
In n_estimators, the more estimators you give, the better the model will do.
Max_features can be tried at different parameters to get better accuracy.
criterion makes a small impact, but usually, the default is fine.
You can use sklearn's GridSearchCV, it automatically iterates over different parameters to give you the best estimators.
Hope this answer helps.