Posts in tag

Dataset


Techniques on what to clean and how. Before fitting a machine learning or statistical model, we always have to clean the data. No models create meaningful results with messy data. Data cleaning or cleansing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, …

Data always plays a critical role in the ability to research, study, and combat public health emergencies, and nowhere is this more true than in the case of a global crisis. Access to data sets—and tools that can analyze that data at cloud scale—are increasingly essential to the research process, and are particularly necessary in …