Handling non-numerical data in machine learning algorithms is a important task in order to extract meaningful insights and make accurate predictions. While many machine learning algorithms are designed to handle numerical data, there are several techniques available to preprocess and transform non-numerical data into a suitable format for analysis. In this answer, we will explore