Analyzing a dataset about Credit risk
Credit risk can be explained as the possibility of a loss because of a borrower’s failure to repay a loan or meet contractual obligations. Basically, it means the risk that a lender may not receive the owed principal and interest. The higher risk implies the higher cost, that makes this topic important for many people. In this article, we will analyze a dataset about the loan status of applicants and make predictions for new applications via different machine learning algorithms.
