mamomen1996 / Python_CS_04

Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

Repository from Github https://github.commamomen1996/Python_CS_04

clustering customer-segmentation data-analysis data-science elbow-method kmeans kmeans-plus-plus machine-learning market-segmentation matplotlib numpy pandas python scikit-learn silhouette-method sklearn unsupervised-learning

Python_CS_04

Clustering in Python

Case-Study Title: Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

Data Analysis methodology: CRISP-DM

Dataset: Iranian online e-commerce platform's customers transactions data in first 4 months of year 1398 (from 1398/01/01 to 1398/04/31)

Case Goal: Detect and Segment similar customers of e-commerce platform business (Customer Segmentation using RFM model)

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Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

clustering customer-segmentation data-analysis data-science elbow-method kmeans kmeans-plus-plus machine-learning market-segmentation matplotlib numpy pandas python scikit-learn silhouette-method sklearn unsupervised-learning

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