Causal Inference in Python is popular PDF and ePub book, written by Matheus Facure in 2023-07-14, it is a fantastic choice for those who relish reading online the Uncategoriezed genre. Let's immerse ourselves in this engaging Uncategoriezed book by exploring the summary and details provided below. Remember, Causal Inference in Python can be Read Online from any device for your convenience.
Causal Inference in Python Book PDF Summary
How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? 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. 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. 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 Frame a business problem as a causal inference problem Understand how bias gets in the way of causal inference Learn how causal effects can differ from person to person Use repeated observations of the same customers across time to adjust for biases Understand how causal effects differ across geographic locations Examine noncompliance bias and effect dilution
Detail Book of Causal Inference in Python PDF
- Author : Matheus Facure
- Release : 14 July 2023
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781098140212
- Genre : Uncategoriezed
- Total Page : 428 pages
- Language : English
- PDF File Size : 18,7 Mb
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