Loan-Approval-Analysis

the project consists of three parts first part is a statistical analysis on the dataset to show the features that may affect the approval status and there importance on the approval process , second part is after we get known our dataset very well and know main aspects of it i started visualize the insights obtained into an effective dashboard , third part is constructing a machine classification model that classify the offered loans into 2 categories (approved,rejected) based on the applicant details in order to automate the approval process which will end on saving costs and money.