Python, Machine Learning, Statistics, Data Science, Technology.
transformed_values = imputer.fit_transform(X) column = X.columns print(column) newdf = pd.DataFrame(transformed_values, columns = column ) newdf.describe() Let’s print vehdf data frame : print("Original null value count:", vehdf.isnull().sum()) print("\n\nCount after we impiuted the NaN value: ",