Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
btyd 开源项目推荐(9 个)
btyd 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 全部 9
GitHub 共 9 个仓库,已全部展示The main purpose of this repository is to model and forecast customer lifetime value.
Demonstration of Probabilistic BTYD models
Buy-till-you-die models for a non-contractual business, in Python that installs. Four dependencies, Python 3.11+, published estimates reproduced in CI.
Who comes back, what they're worth over the next six months, and where a retention budget should go. Cohorts, MBG/NBD + Gamma-Gamma CLV, budget optimisation, Power BI.
Customer segmentation (RFM + K-Means) and 6-month CLV prediction on 1M+ e-commerce transactions: BG/NBD + Gamma-Gamma implemented from scratch vs. LightGBM, leakage-safe backtesting, revenue-at-risk analysis.
Customer Lifetime Value prediction comparing probabilistic BTYD models and machine learning for revenue forecasting and customer prioritization.
Measuring Customer Lifetime Value through Buy Till You Die (BTYD) model
Bayesian Commercial Decision Engine: Google Meridian MMM, SHAP explainability, BG/NBD Customer Lifetime Value, and distributed Apache Spark churn pipelines.
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 9 个项目;原始页面见 https://github.com/topics/btyd。
- 该话题在 GitHub 上共有 9 个仓库, 本站收录的是其中最热门的 9 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 9 个项目累计 1317 Star,覆盖 3 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。