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Hello, i have regression model project of wine dataset having categorical attributes and missing values where i should predict the wine quality picture below has some rows of the data and info about each column also i should mention that the attribute unique values are a lot and i have problem of missing values which game me a problem using OnehotEncoder of sklearn.preprocessing so i tried get_dummies and i got memory error since as i mentioned i have lot of values for each category so what do you advice i do
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