CausalInferenceLab/causal-inference-lecture
가짜연구소 인과추론팀 특강 및 발표자료 모음입니다.
This project offers a series of lectures and presentation materials on causal inference, specifically tailored for practical applications using Python. It takes complex data as input and provides insights into cause-and-effect relationships, helping users understand why certain outcomes occur. This is ideal for data analysts, researchers, marketing managers, product managers, or anyone involved in data-driven decision-making.
No commits in the last 6 months.
Use this if you need to understand the true impact of an action or intervention, such as a marketing campaign, product update, or policy change, rather than just observing correlations.
Not ideal if you are looking for a basic introduction to statistics or data analysis without a focus on establishing causal links.
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MIT
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Last pushed
Oct 25, 2024
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