amitabh-7t/ms-experimentation-causal-inference

A complete end-to-end AI experimentation & causal inference project using A/B testing, X-Learner, CATE estimation, and uplift segmentation on 1.5M+ synthetic SaaS behavioral records. Includes statistical analysis, causal ML workflow, uplift modeling, feature importance, and business-ready insights for AI feature rollout & monetization.

10
/ 100
Experimental
No License No Package No Dependents
Maintenance 6 / 25
Adoption 3 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

3

Forks

Language

Jupyter Notebook

License

Last pushed

Nov 24, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/amitabh-7t/ms-experimentation-causal-inference"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.