mukulsinghal001 / customer-lifetime-prediction-using-python

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.

Date Created 2020-11-18 (3 years ago)

Commits 34 (last one about a year ago)

Stargazers 132 (0 this week)

Watchers 2 (0 this week)

Forks 52

License unknown

Ranking

RepositoryStats indexes 565,600 repositories, of these mukulsinghal001/customer-lifetime-prediction-using-python is ranked #234,465 (59th percentile) for total stargazers, and #467,712 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,541/16,305.

mukulsinghal001/customer-lifetime-prediction-using-python is also tagged with popular topics, for these it's ranked: python (#10,635/21424), machine-learning (#4,009/7699), data-analysis (#349/643), ecommerce (#261/575), e-commerce (#88/195)

Other Information

Homepage URL: https://mukulsinghal001-customer-lifetime-model-de-streamlit-app-t3zaq6.streamlit.app/

All Topics

clv ltv bg-nbd python ecommerce e-commerce data-analysis machine-learning customer-lifetime customer-analytics e-commerce-project marketing-analytics customer-segmentation customer-lifetime-value

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

1 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

No issues have been posted

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-09-21 @ 10:31pm, id: 313859815 / R_kgDOErUe5w