Predicting-credit-card-spend-Linear-Regression
Business Problem :- Company collected data from 5000 customers. The objective of this case study is to understand what's driving the total spend of credit card(Primary Card + Secondary card), Prioritize the drivers based on the importance.
This case required intensive data cleaning/preparation, Factor analysis, correlation matrix, univariate analysis and Linear Regression modeling.
-- Applied data cleaning, linear regression, filtering variables using correlations, influential observations & capturing maximum variance within data, finally listing key drivers. -- Prioritized drivers for credit card spending. -- The model was developed in both SAS & R tools. -- Visualization & Reporting done using Excel.