Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
README.md		README.md
app.py		app.py
synthetic_customer_data.csv		synthetic_customer_data.csv

Repository files navigation

SegmentIQ-Customer-Clustering-through-RFM-K-Means

About

This presents a comprehensive analysis of customer segmentation utilizing RFM (Recency, Frequency, Monetary) methodology enhanced with K-means clustering. The implementation creates a data-driven approach to identify distinct customer groups, enabling businesses to develop targeted marketing strategies and optimize customer engagement.

python csv python3

Report repository

Releases

No releases published

Packages

Contributors

Languages

Python 100.0%