Causal Inference in Python (First Early Release) free ebook download.

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Causal Inference in Python (First Early Release) free ebook download

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Python

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Catalogue

Author(s):	Facure

Date:	2022	Format:	epub,mobi	Language:	English	ISBN/ASIN:	0000000000
Pages:	1	OCR:		Quality:		ISBN13:	9781098140243
Uploader:	tvladb77	Upload Date:	1/2/2023 1:16:30 AM

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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

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3164988	Download	https://rapidgator.net/file/26c00685828a...		0.00	tvladb77
3164989	Mirror	https://novafile.org/file/9vk0fxd4bw6i...		0.00	tvladb77

Tags: Causal Early Inference Python Release

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