Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Data transformation is a critical yet often overlooked preprocessing step in many data science pipelines. A right transformation can significantly improve the performance of the learning algorithm.