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In this liveProject, you’ll utilize causal inference techniques to help an e-commerce company estimate the impact of discounts on profits. You’ll learn how bias gets in our way of inferring the effect of discounts, and how to adjust for it for more accurate results. Leverage adjustment techniques, like linear regression, to adjust for bias and see how linear regression can improve the quality of your data. Your final task is to present a recommendation on whether the company should distribute its discounts or not.
This liveProject is for data scientists with knowledge of Python, machine learning, and statistics. A basic understanding of causal inference will also be helpful, but is not required. To begin this liveProject you will need to be familiar with the following:
In this liveProject, you’ll learn core skills of causal inference and how to apply them to practical business scenarios.
geekle is based on a wordle clone.