Causal Inference


Causal inference is the process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

Overview

Causal Inference in Machine Learning
An illustrated look at causal inference in machine learning.
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Tutorials

CausalML
Uplift modeling and causal inference with machine learning algorithms.
causal-inference uplift-modeling incubation machine-learning
Text Feature Selection for Causal Inference
Identifying the linguistic features that cause people to act a certain way after reading a text, regardless of confounding variables, is something people ...
causal-inference natural-language-processing text feature-selection

Libraries

General
DoWhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions.
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CausalML
Uplift modeling and causal inference with machine learning algorithms.
causal-inference uplift-modeling incubation machine-learning
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