
Data is the cornerstone upon which algorithms in the field of machine learning (ML) are constructed. The results, accuracy of the models, and general performance of machine learning applications are strongly influenced by the quality of the data employed. For this reason, data quality is critical to any machine learning project, and an appreciation of its significance is essential to its effective execution.