In the realm of machine learning, data preprocessing emerges as a fundamental step that significantly influences the performance of your models. Raw data is often noisy, hindering the ability of algorithms to uncover meaningful insights. Data preprocessing consists of a series of techniques aimed at cleaning data into a suitable format for machine