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

credits-bit.ly/39klViJ (cca)

credits-bit.ly/3OM0ZRR (mean-mode-arbitary-value-end-of-distribution)

credits-bit.ly/3y6Kev8 (Missing Categorical Data | Simple Imputer | Most Frequent Imputation | Missing Category Imp)

CCA:Complete case analysis, also known as listwise deletion (LD), utilizes only the cases in a data set for which there are no missing values on any of the variables. This can result in loss of significant amount of information even in data sets that contain a modest number of variables.this is only used if the data is in missing competely random and if the data is missing less then or = 5%

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Categorical Data		Categorical Data
Missing Indicator Random Sample Imputation Handling Missing Data		Missing Indicator Random Sample Imputation Handling Missing Data
Handling Missing Data(cca).ipynb		Handling Missing Data(cca).ipynb
Handling missing Numerical Data.ipynb		Handling missing Numerical Data.ipynb
README.md		README.md
data_science_job.csv		data_science_job.csv
missing Numerical Data arbitrary value imputation.ipynb		missing Numerical Data arbitrary value imputation.ipynb
titanic_toy.csv		titanic_toy.csv