Cleaning

In this step, we clean the data. If the dataset has missing values, either delete that data record or replace it with the most appropriate nearest value. If you find any unnecessary data attributes, you can remove them as well. Suppose you are making a grammar correction system, then you can remove the mathematical equations from your dataset because your grammar correction application doesn't use equations.