The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master
The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master
Master six advanced causal inference methods with Python: doubly robust estimation, instrumental variables, regression discontinuity, modern difference-in-differences, heterogeneous treatment effects and sensitivity analysis. Includes code and a practical decision framework.
The post The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master appeared first on Towards Data Science.
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