Is there any way how to make samples balanced?
SMOTE is a python library popularly used with unbalanced datasets like yours - it applies resampling to create a new balanced dataset. You can find some example implementation here.

Maybe you will also find this question and answers relevant, as it contains advice on limiting bias during modeling and validation of unbalanced data classifier.