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Attempted to predict the current status of loan to a given borrower by using Lending club lone data set using decision tree classifier (scikit-learn).The loan data records with title field of credit card, medical and debt are used. A loan status category of 0 is considered to be good because the loan status is either Fully Paid or Current. A loan status category of 1 is considered to be poor because the loan status is either Late(for any time period) or charged off .Thus we will train our model which will predict the class of the borrower so as to make it easy for the lender to decide the grant of loan

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