Links

Below are some great online resources to get started with practical causal inference.

Software

• Causal ML: A Python Package for Uplift Modeling and Causal Inference with ML
• Pyro: Deep universal probabilistic programming with Python and PyTorch
• DoWhy: Making causal inference easy
• EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
• CausalNex: A Python library that helps data scientists to infer causation rather than observing correlation

Online books and articles

• Causal Inference in Statistics: A Primer
• Causal Inference Book
• Elements of Causal Inference
• The Seven Tools of Causal Inference with Reflections on Machine Learning
• Machine Learning Methods Economists Should Know About