In the realm of machine learning, data preprocessing emerges as a fundamental step that remarkably influences the accuracy of your models. Raw data is often unstructured, hindering the ability of algorithms to uncover meaningful insights. Data preprocessing entails a set of methods aimed at preparing data into a optimal format for machine learning