Every data science project needs a data validation step. It’s a crucial part, especially when feeding data into machine learning models. You don’t want errors or unexpected behaviors in a production environment. Data validation is a way you can check the data before it touches the model and ensures it’s not corrupted. And yes, you […] The post appeared first on appsilon.com/blog/.