A Python library that helps data scientists to infer causation rather than observing correlation.
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Updated
May 7, 2024 - Python
A Python library that helps data scientists to infer causation rather than observing correlation.
Breast cancer prediction using causal Inference
This project performs a causal inferences and drive a machine learning model for a breast cancer Wisconsin dataset.
Bayesian causal network analysis for SPARX clinical trial on Parkinson's disease. Data was loaded into PostgeSQL (see pdsas.pgsql).
Logistic optimization: Delivery drivers location optimization with Causal Inference
Project diving deep into causality. wrapper for causal inference libraries causalnex and DoWhy using Breast cancer dataset
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