overfitting_and_underfitting.py

# OVERFITTING is a type of training in which your test data have to suffer a lot. 
# It has very low train error and very high test error.
# It can be done in two ways :
# 1. Resampling
# 2. Holding a Validation dataset


# UNDERFITTING is a type of fitting in which train error as well as test error both are very high.
# generally it is not disscussed.