In the realm of machine learning, data preprocessing emerges as a crucial step that significantly influences the performance of your models. Raw data is often incomplete, hindering the ability of algorithms to derive meaningful insights. Data preprocessing involves a series of methods aimed at transforming data into a appropriate format for machine