Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
clv 开源项目推荐(110 个)
clv 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 110 个仓库What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
R-Package for estimating CLV
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)
Customer Base Analysis with Recurrent Neural Networks
Marketing Science in Python — a practical guide to marketing analytics, causal inference, marketing mix modeling, pricing, forecasting, and customer analytics.
Predicting Customer Lifetime Value
Create an advanced data engineering pipeline that processes and analyzes sales data from an e-commerce website using Apache Airflow for workflow management and ClickHouse as the high-performance data warehouse.
CLV prediction with BG/NBD model, xgboost, lightgbm
Repository contains Customer Lifetime Value Prediction for Automobile Insurance Company in USA
FLO wants to determine roadmap for sales and marketing activities. In order for the company to make a medium long -term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.
Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer p…
Clustering and predicting customer lifetime value with machine learning and RFM analysis.
This project analyzes online retail transaction data to identify distinct customer segments using RFM (Recency, Frequency, Monetary) analysis and calculates Customer Lifetime Value (CLV) using Predictive CLV models.
CLV PULSE - A DYNAMIC CUSTOMER LIFETIME VALUE PREDICTOR MODEL USING MACHINE LEARNING
Sports betting platform with ML predictions, Kelly sizing, live odds, steam/line-move desk lens, and daily AI picks. NBA, NFL, MLB.
To identify best and valuable customers for the company, to analyse the customer needs and wants & develop marketing strategies to retain them and invest in the right customer category to increase company profits. Implement Customer LifetTime Value (CLTV) in order to distinguish customer based on their potential lifetime profits, thus invest in …
OpenClaw/ClawHub agent skills — sports-odds, kelly-criterion, clv-journal, portfolio-rebalancer, judge-audit, and more (17 skills).
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/clv。
- 该话题在 GitHub 上共有 110 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1865 Star,覆盖 5 种主要语言,数据更新于 2026-11-09。
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