Question 1: Data Preprocessing (40 points) You are asked to implement three different data preprocessing approaches: - Min-Max Scaling: Scaling each column of the data to be between lower and higher. - Standard Scaling: Scale each column of the data so that it has zero mean and unit variance - Max Filling: Replace any missing data with the maximum of the non-missing data Assume that the given data is a 2D NumPy array of shape (n,m). You do not need to do any error handling. It is strongly recommended to test your methods to check whether they work as expected