Data Preparation Course - What You Shouldn't Miss

C p m a i methodology for machine learning projects is based on decades of experience. As part of that methodology, one of the phases is data preparation. We need to pay attention not just to building good models with data science, but we also need to paying attention to data engineering. This clip shares some of the insights from the data preparation course about the importance of the quality of data.