Machine Learning is heavily dependent on the data being provided. More data will help build a better model. However, the problem arises when the data doesn't properly represent the business model or contains values that could be misleading. In this session we'll review the key concepts and tools for proper data cleansing to ensure accurate Machine Learning models.