Skip to content

Clustering helps marketers improve their customer base, work on target areas, and segment customers based on purchase history, interests, or activity monitoring. Here the K-Means Clustering Algorithm has been used to group customers with the help of their Annual Incomes and their spending scores as metrics.

License

Notifications You must be signed in to change notification settings

amitav710/Customer-Segmentation-using-K-Means-Clustering

Repository files navigation

Customer-Segmentation-using-K-Means-Clustering

Clustering helps marketers improve their customer base, work on target areas, and segment customers based on purchase history, interests, or activity monitoring. Here the K-Means Clustering Algorithm has been used to group customers with the help of their Annual Incomes and their spending scores as metrics.

About

Clustering helps marketers improve their customer base, work on target areas, and segment customers based on purchase history, interests, or activity monitoring. Here the K-Means Clustering Algorithm has been used to group customers with the help of their Annual Incomes and their spending scores as metrics.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published