FIMUS (Framework Of Imputing Missing Values Using Co-appearance, Correlation and Similarity Analysis

This project is from the data analytics sector and we want python code to perform the imputation of missing values for both numerical and categorical attributes and values. This is a missing value imputation project. The basic idea of FIMUS is to make an educated guess based on the co-appearance of the values, the correlation between the attributes and the similarity of values belonging to an attribute. We have attached a PPT and a journal based on FIMUS for more information about it. With these materials, the process can be understood and we need the code within a week.