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