What happens if we have missing data? Nans can really cause a headache!
One strategy is to "impute" the missing data based on strategies (ie try to fill in the blanks). The impute.SimpleImputer method in sklearn is an example of such a tool.
Your job here is write an equivalent differentially private equivalent by leveraging the tools in the library. You'll need to justify that your approach is in fact differentially private to receive the PR acceptance.
Dhruv127
commented
9 months ago
What happens if we have missing data? Nans can really cause a headache!
One strategy is to "impute" the missing data based on strategies (ie try to fill in the blanks). The impute.SimpleImputer method in sklearn is an example of such a tool.
Your job here is write an equivalent differentially private equivalent by leveraging the tools in the library. You'll need to justify that your approach is in fact differentially private to receive the PR acceptance.