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## All techniques of handling Missing values
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- 1. [ Mean/Mode/Median replacement] ( https://github.com/Rushi21-kesh/Handling-Missing-Values/blob/main/1.%20Mean%20Median%20Mode%20imputation.ipynb )
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- 2. [ Random sample imputation] ( https://github.com/Rushi21-kesh/Handling-Missing-Values/blob/main/2.%20Random%20Sample%20Imputation.ipynb )
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- 3 . Capturing NAN values with a new feature
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- 4 . End of Distribution imputation
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- 5 . Arbitrary imputation
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- 6 . Frequent categories imputation
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+ 1. Mean/Mode/Median replacement
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+ 2. Random sample imputation
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+ 3. Capturing NAN values with a new feature
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+ 4. End of Distribution imputation
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+ 5. Arbitrary imputation
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+ 6. Frequent categories imputation
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#### Note we perform all this techniques on 'Titanic' dataset, you can download it from :
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- [ Titanic Datset] ( https://github.com/Rushi21-kesh/Handling-Missing-Values/blob/main/Titanic.csv )
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