PLEASE SOLVE USING PYTHON

I cannot upload LoanData_clean but you can see above:

LoanData_clean.csv is a data file about the loan status for the cutomers of a bank. We have several features collected from the customers along with their loan status which is ' Y ' or 'N'. There are 10 features here that relate to customers. The last column in the data file is our target variable, which is what we're trying o predict by building a Machine Learning model. Before we build a model, we want to explore the data and examine the relationships between the features and the target (Loan_Status). Considering each and every single predictor, use an appropriate hypothesis test to decide whether a given feature is going to be useful in predicting the Loan Status. For every test, state the effect size as well and comment on the agreement/disagrement with the test output