R-Analysis: Identifying high value customers and low value of customers using RFM modelling
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Updated
Jun 11, 2020 - Jupyter Notebook
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
Generated customer groups by giving each customer a quantitative score based on the Recency, Frequency & Monetary Value of their historical purchases using the K-Means Clustering algorithm.
This project utilizes SQL analytical functions to analyze customer behavior and segment customers into different groups based on their purchasing patterns. It involves exploring the OnlineRetail dataset and answering key business questions related to customer behavior.
This repository contains my project of SQL in DQLAB Id
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