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What is data cleansing?

What is data cleansing?

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Data Cleansing is basically a method of cleaning the data means how efficiently we can prepare the data before using in the model for prediction.
It basically requires to fill the missing values using mean,median,mode and delete the unnecessary part of the data using feature engineering techniques.

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