In the realm of machine learning, data preprocessing emerges as a crucial step that powerfully influences the accuracy of your models. Raw data is often unstructured, hindering the ability of algorithms to derive meaningful insights. Data preprocessing consists of a set of methods aimed at preparing data into a suitable format for machine learning