Numerical and categorical data used for statistical analyses is often plagued with missing values and inconsistencies. In many cases, a number of missing values may be derived, based on the ...

Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...