klaudia-nazarko / iv-and-woe-python

This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

Date Created 2019-11-15 (5 years ago)

Commits 43 (last one 4 years ago)

Stargazers 48 (0 this week)

Watchers 4 (0 this week)

Forks 31

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RepositoryStats indexes 622,269 repositories, of these klaudia-nazarko/iv-and-woe-python is ranked #496,868 (20th percentile) for total stargazers, and #383,648 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,338/18,620.

klaudia-nazarko/iv-and-woe-python is also tagged with popular topics, for these it's ranked: python (#19,614/23115), data-science (#1,894/2201)

Other Information

klaudia-nazarko/iv-and-woe-python has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 0 closed issues.

Homepage URL: https://towardsdatascience.com/churn-analysis-information-value-and-weight-of-evidence-6a35db8b9ec5

All Topics

python effect-size data-science churn-analysis information-value weight-of-evidence statistical-analysis statistical-significance object-oriented-programming

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updated: 2025-02-21 @ 11:26am, id: 221937084 / R_kgDODTp9vA