Ensuring that data cleaning processes are free from bias is a critical concern in the field of machine learning, particularly when utilizing platforms such as Google Cloud Machine Learning. Bias during data cleaning can lead to skewed models, which in turn can produce inaccurate or unfair predictions. Addressing this issue requires a multifaceted approach encompassing