arbitary-value

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nani757 / cca-mean-mode-arbitary-value-end-of-distribution-missing-data-
complete case analysis drops the whole column if there are missing values, arbitrary value imputation in this we can use replace (mean or median) with -1 or 99.999, end of the distribution it replaces the values with "missing" term
arbitary-value categorical-data end-of-distribution feature-engineering gridsearchcv mean mediam missing-data mode random-sampling simpleimputer sklearn-library
Language:Jupyter Notebook

nani757 / cca-mean-mode-arbitary-value-end-of-distribution-missing-data-