DATA PREPROCESSING: Decreasing Categories in Categorical Data

The following article will look at various data types and focus on Categorical data and answer as to Why and How to reduce categories and end with hands-on example in Python. The article will also look at a different method which can be used for missing value imputation and reducing categories. Data preprocessing enhances the quality of data to promote the extraction of meaningful insights. In Machine Learning, it refers to the transformation of raw data to make it viable for Machine learning Models. Data can be Continuous or Discrete.