Demystifying Dependence and Why it is Important in Causal Inference and Causal Validation | Towards Data Science

Demystifying Dependence and Why it Is Important in Causal Inference and Causal Validation A step-by-step guide in understanding the concept of dependence and how to apply it to validate directed acyclic graphs using Python Introduction Causal Inference is an emergent branch of data science concerned with determining the cause-and-effect relationship between events and outcomes and […]