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.

lef standard_scaling(data): This function stardardize data by removing the mean and scaling to unit variance. Example: Let data =[[1,5],[0,1],[3,8]] Then output =[[0.98058068,0.11624764], [0.39223227,1.27872403], Math is output =(1.37281295,1.16247639]]