The goal of this Business Analytics project is to find the most accurate prediction model for house sale prices in the Ames housing dataset from 81 variables of house characteristics. The document includes data exploration (univariate and bivariate), data cleaning, and regression model diagnosis.

This statistic project explores a collection of data on a sample of applicants regarding their credit card usage history and other personal and financial aspects.