Overview The creation of new variables through transforming Numerical Variables into Categorical Varsities, was discussed in the previous blog. Binning is reversed, and Encoding can be described as creating new…
Overview Missing Value Treatment is among the most crucial processes in the data processing. It involves identifying missing values and processing them so that only the minimum amount of data…
Overview In the previous post, the Consolidation of Datasets was examined. After the data is consolidated, it's crucial to examine the dataset. Different descriptive and inferential statistics can be utilized…