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Handling missing categorical data

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@jayanthd wrote:

I have 2lac records in sample with 70 variables. There are 40 categorical variables in which many data are missing and have blank values. There are few categorical variables which has 15 to 40 category. I am trying to predict rare event. Can some one help me understand the best approach to clean the data.

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