One of the most important but overlooked aspects of developing a Machine learning model is how the categorical variables have been encoded or represented to the underlying predictive algorithm.An expertise in ability to handle categorical variables can some times be more powerful than using the state of the art Machine learning models.We will learn some of the best methodologies in the Industry for handling categorical data and will also discuss some quick intuitions on when to try what.