Data preparation is often the unsung hero behind successful machine learning models.It involves transforming raw data into a form that can be effectively used for analysis and ML algorithms.Data preparation accounts for up to 80% of the time spent on an ML project.AWS provides tools like SageMaker Data Wrangler and Ground Truth Plus to streamline data preparation workflows.