28
Jan
Understanding Categorical Data and its Importance in Machine Learning Categorical data is a type of data that can be divided into distinct groups or categories. In machine learning, it is common to encounter categorical data in the form of labels, such as a classification problem where the output is a set of predefined categories. Handling categorical data is an important step in preprocessing your data for machine learning, as the algorithms used in machine learning often require numerical input. One of the most common ways to handle categorical data is through encoding. Encoding involves converting categorical data into a numerical…