Explanation When working with machine learning models, especially when dealing with categorical data, one of the challenges you face is converting textual data into a numerical format that models can understand. Today, I’ll walk you through the process of ordinal encoding and how it can be applied using Python. What is Ordinal Encoding? Ordinal encoding is a method used to convert categorical variables into integers. This is especially useful when the categories have a natural, meaningful order, such as "low", "medium", and "high." The idea is to map each unique category to an integer that reflects its rank or position. For example: "Poor" → 0 "Average" → 1 "Good" → 2 This type of encoding helps models interpret the order of the categories rather than treating them as independent,…