Question

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.

Answer 1

In general, the company collected data from 5000 customers as well as objective of this case study is to understand what driving the total spends of credit card, Prioritize the drivers based on the importance.

This process also needs intensive data cleaning or preparation, correlation matrix, Factor analysis, univariate analysis as well as Linear Regression modeling.

Applied data cleaning, linear regression, filtering variables are also using correlations.