# scikit-learn-contrib/imbalanced-learn

<https://repo.masters-masters.com/en/repos/scikit-learn-contrib/imbalanced-learn>

[Home](https://repo.masters-masters.com/en) › [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) › [imbalanced-learn](https://repo.masters-masters.com/en/repos/scikit-learn-contrib/imbalanced-learn)

scikit-learn-contrib/imbalanced-learn has 7,134 stars on GitHub. Its RepoMasters card: Stable tier. A Python Package to Tackle the Curse of Imbalanced…

| Field | Value |
| --- | --- |
| Owner | [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) |
| Stars | 7,134 |
| Forks | 1,386 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2014 |
| Topics | machine-learning, python, statistics, data-science, data-analysis |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [scikit-learn-contrib/imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn) |

## Repository

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.