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Investigate the reasons behind bankruptcy and attempt to identify early warning signs. Perform exploratory data analytics using pandas profiling and apply missing value treatments and oversampling
FIMUS imputes numerical and categorical missing values by using a data set’s existing patterns including co-appearances of attribute values, correlations among the attributes and similarity of values belonging to an attribute.
3rd Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Linear Regression & Data Preprocessing