Deep dive into multi-label classification..! --Karthik Nooney
With continuous increase in available data, there is a pressing need to organize it and modern classification problems often involve the prediction of multiple labels simultaneously associated with a single instance.
Known as Multi-Label Classification, it is one such task which is omnipresent in many real world problems.
In this project, using a Kaggle problem as example, we explore different aspects of multi-label classification.
DISCLAIMER FROM THE DATA SOURCE: the dataset contains text that may be considered profane, vulgar, or offensive.