Credit_Risk_Modeling

• Goal is to predict that weather to approve or not the loan to customer, depending on information given about customer and loan details.
• It includes task such as data visualization, cleaning and transformation,feature engineering.
• used binary classification algorithms like decision tree with prior probabilities, loss matrix, Logistic Regression.
• R is used for programming language and RStudio as tool.
• library used are gmodels,rpart,caTools,ggplot2.