imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Apply techniques to balance data sets for better machine learning results.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
imbalanced-learn has 7.1k stars on GitHub. It has been forked 1.3k times. imbalanced-learn is written mainly in Python. It has been in active development since 2014. imbalanced-learn is available under the MIT license. Its main topics are data-analysis, data-science, machine-learning, python.
What is imbalanced-learn?
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Is imbalanced-learn open source?
imbalanced-learn is an open-source project. It is released under the MIT license.
Is imbalanced-learn free?
Yes. imbalanced-learn is free and open source — you can use, modify and self-host it.
What license does imbalanced-learn use?
imbalanced-learn is available under the MIT license.
What language is imbalanced-learn written in?
imbalanced-learn is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/scikit-learn-contrib-imbalanced-learn.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.