Causal Inference in Python: Applying Causal Inference in the Tech Industry Facure Matheus
Causal Inference in Python: Applying Causal Inference in the Tech Industry Facure Matheus How many buyers will an additional dollar of online marketing bring in? How do you establish an optimal…
Specifikacia Causal Inference in Python: Applying Causal Inference in the Tech Industry Facure Matheus
Causal Inference in Python: Applying Causal Inference in the Tech Industry Facure Matheus
How many buyers will an additional dollar of online marketing bring in? How do you establish an optimal pricing strategy? Which customers will only buy when given a discount coupon?
Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference.In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Each method is accompanied by an application in the industry to serve as a grounding example.With this book, you will:Learn how to use basic concepts of causal inference
Explanation in Causal Inference
Causal Inference: The Mixtape