Uplift modeling and causal inference with machine learning algorithms
Estimate the effects of different actions on outcomes using machine learning methods for better decision-making in campaigns.
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 anytimeUplift modeling and causal inference with machine learning algorithms
causalml has 5.9k stars on GitHub. It has been forked 865 times. causalml is written mainly in Python. It has been in active development since 2019. Its main topics are causal-inference, incubation, machine-learning, uplift-modeling.
Uplift modeling and causal inference with machine learning algorithms
causalml is an open-source project.
Yes. causalml is free and open source — you can use, modify and self-host it.
causalml is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/uber-causalml.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.