Clv 相关的热门 GitHub AI项目仓库

PyMC贝叶斯营销工具箱。包含媒体组合模型 (MMM)、客户生命周期价值模型 (CLV)、直至死亡购买模型 (BTYD) 等。

精选的超棒机器学习库列表，适用于市场营销，涵盖媒体组合模型、多渠道归因、因果推断等

基于循环神经网络的客户群分析

预测客户终身价值（CLV）可以帮助车险公司更轻松地确定新客户的保费，从而平衡市场整体风险。

Better-CLV-Prediction 关注利用机器学习技术预测客户终身价值 (CLV)。通过分析客户数据，该模型可以帮助企业优化营销策略，提高客户留存率。

Cuana的第二代版本，这是一个端到端的客户分析解决方案，用于预测客户流失率/客户终身价值、细分客户群体和进行潜在客户评分。

Production-ready e-commerce analytics platform combining KPI dashboards, A/B testing, Monte Carlo simulations, customer segmentation, and time series forecasting with Prophet—all built in Python.

End-to-end MLOps pipeline for e-commerce customer analytics. It uses the Online Retail II dataset to run RFM segmentation, churn prediction, and CLV modeling on Spark. Airflow orchestrates the workflow, MLflow tracks experiments and models, DVC versions data, and Streamlit provides an interactive UI—services are containerized with Docker.

End-to-end ML project using Python to predict customer lifetime value (CLV) and segment customers into high, medium, low value groups. Includes automated feature engineering and regression models.

This repository contains a CLV, Customer Segmentation & RFM analysis using raw events data

Machine learning project to predict Customer Lifetime Value (CLV) and segment customers into high, medium, and low value groups. Includes automated feature engineering and regression models.