Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
causal conclusions from data. This approach assumes that we are assigning treatment randomly, and it helps us eliminate bias (since groups are equal without treatment). To practice solving such tasks, we will look at the example based on synthetic data. Suppose we’ve built an LLM-based tool that