Is there any method about how to expand our dataset from initial dataset having 200 rows . I want minimum 2000 rows from that to apply ML Model
My project is by leveraging ML techniques predict depression level or advice some precautions to parent of child.
I want to apply ML Model to predict depression level or symptoms of it based on our dataset. So, I want minimum 2000 training data tuples to train them. How can I achieve this by not changing relationship(correlation) between attributes.
My dataset contains many attributes for eg. Screentime , depression level. How to solve this by using some code.