Exploring Causality with DoWhy

Perform Causal Inference Using Python Step by Step with DoWhy

We began exploring causality by uncovering the risks of relying solely on raw data highlighted in “The Traps of Blindly Trusting Data: Simpson’s Paradox.” We explored through “An Intuitive Introduction to Causal Inference” and shed light on fundamental concepts using “Visualizing Causality Using Causal Graphs.” Our discussion extended as we examined the effects of biases in “How Biases Impact Causal Inference” and then outlined effective strategies to mitigate these biases in…