How to handle/normalise the categorical data?

#1

I participated in an online challenge where I’ve to predict the salary of the data scientist. The dataset contains too many categories of the data, How should I handle them?
PLease specify some technique or methods used for such scenario.

#2

Hey @settingsingh, there are two ways to deal with categorical data, either use label encoder or use one hot encoding, in case of one hot encoding no need for normalization, where as in label encoding you must normalize the data. Also if you column contains say like 100 total number of examples, and 75 contains different unique value, its better to drop the column itself, like id column etc.

Hope this resolved your doubt.
Plz mark the doubt as resolved in my doubts section. :blush: