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OLS Treatment Effects Estimation Using Python Package Causal Inference
`CausalInference` is a Python package for causal analysis. It has different functionalities such as propensity score trimming, covariates matching, ordinary least squares (OLS) treatment effects estimation, subclassification, and inverse probability weighting. In this tutorial, we will talk about how to do ordinary least squares (OLS) treatment ...
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Machine learning can use causal inference to make sense of data and to improve robustness and generalizability of models. In an on-demand webinar with Amit Sharma and Emre Kiciman, find out how to start with causal inference in your work. Register now: https://aka.ms/AAaj77n | Microsoft Research
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