我们以4972条真实客户数据为样本，通过Python工具链（pandas、scikit-learn等）完成从数据清洗到模型部署的闭环，创新点在于将RFM客户价值分析思想与机器学习模型融合，实现“分群-预测-挽留”的精细化运营。

Data Analysis with Pandas This repository contains two files demonstrating foundational data analysis skills using pandas. Denais_chronic_disease_analysis.ipynb analyzes a dataset containing Medicare ...

The efforts aimed at donor retention are a fundamental aspect of Customer Relationship Management (CRM) strategies that enhance organizational effectiveness. This research concentrated on entities ...

A real-world retail analytics case study covering the full data lifecycle — from cleaning and feature engineering in Excel, querying in SQL, to RFM-based customer segmentation and clustering using ...