Skip to content

Develop ML models that can help the retention team predict high risk churn customers before they leave. A store is interested in determining the associations between items purchased from its Departments. The store chose to conduct a market basket analysis of specific items purchased to analyze customer’s buying behavior.

License

Notifications You must be signed in to change notification settings

theamachine/Customer-churn-rate-and-market-analysis-using-R

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Customer churn rate and market analysis using R

Problem 1:

Develop ML models that can help the retention team predict high risk churn customers before they leave. A store is interested in determining the associations between items purchased from its Departments.

Problem 2:

The store chose to conduct a market basket analysis of specific items purchased to analyze customer’s buying behavior.

About

Develop ML models that can help the retention team predict high risk churn customers before they leave. A store is interested in determining the associations between items purchased from its Departments. The store chose to conduct a market basket analysis of specific items purchased to analyze customer’s buying behavior.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages