I'm given a question like below. Using the 48_Industry_Portfolios_daily dataset: characterize/describe the dataset and focus on the global minimum variance portfolio. Compare the portfolio variance using different regularizers and use validation methods to find the optimal parameters.
What I'm not clear is to compare the portfolio variance with different regularizers and to use validation methods.
I was using Python to find the efficient frontier. What I need to know is, are there any useful python materials where I can compare portfolio variance using different regularizes. I was not able to find useful resources