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Set first 50 row values of iris.data to Null values. Use numpy.nan Perform Imputation on 'iris.data' and save the transformed data in variable 'iris_imputed' .

  • Set first 50 row values ofiris.datato Null values. Usenumpy.nan
  • Perform Imputation on'iris.data'and save the transformed data in variable'iris_imputed'.
  • Hint : useImputerAPI, Replacenumpy.NaNvalues with mean of corresponding data.
  • Print the mean of every column using the below command.print(iris_imputed.mean(axis=0))

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