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 30

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RepositoryStats indexes 598,732 repositories, of these klaudia-nazarko/iv-and-woe-python is ranked #482,503 (19th percentile) for total stargazers, and #378,444 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,799/17,660.

klaudia-nazarko/iv-and-woe-python is also tagged with popular topics, for these it's ranked: python (#19,137/22396), data-science (#1,854/2147)

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.

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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: 2024-10-21 @ 05:10am, id: 221937084 / R_kgDODTp9vA