Why this framework/library/software/resource is awesome?
[Awesome] imbalanced-learn is part of scikit-learn-contrib, fully compatible with scikit-learn, and provides several techniques for handling imbalanced data, including under sampling, over sampling, and ensembling.
Who agrees that this change should be merged could add your reactions (e.g. 👍) to this pull request.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/684
**Author:** [@dvro](https://github.com/dvro)
**Created:** 7/19/2016
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `imblearn`
---
### 📝 Commits (1)
- [`409c931`](https://github.com/vinta/awesome-python/commit/409c9319023b3b8e15625085b0335b2407192471) Add imbalanced-learn
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## Why this framework/library/software/resource is awesome?
[Awesome] imbalanced-learn is part of [scikit-learn-contrib](https://github.com/scikit-learn-contrib), fully compatible with scikit-learn, and provides several techniques for handling imbalanced data, including under sampling, over sampling, and ensembling.
On the (github page)[https://github.com/scikit-learn-contrib/imbalanced-learn] it has (to this date):
- 359 Stargazers
- 125 Forks
- 30 Watchers
## Vote for this pull request
Who agrees that this change should be merged could add your reactions (e.g. :+1:) to this pull request.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/684
Author: @dvro
Created: 7/19/2016
Status: ❌ Closed
Base:
master← Head:imblearn📝 Commits (1)
409c931Add imbalanced-learn📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Why this framework/library/software/resource is awesome?
[Awesome] imbalanced-learn is part of scikit-learn-contrib, fully compatible with scikit-learn, and provides several techniques for handling imbalanced data, including under sampling, over sampling, and ensembling.
On the (github page)[https://github.com/scikit-learn-contrib/imbalanced-learn] it has (to this date):
Vote for this pull request
Who agrees that this change should be merged could add your reactions (e.g. 👍) to this pull request.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.