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Hands-On Data Science for Marketing: Improve your ~ Hands-On Data Science for Marketing: Improve your marketing strategies with machine learning using Python and R [Hwang, Yoon Hyup] on . *FREE* shipping on qualifying offers. Hands-On Data Science for Marketing: Improve your marketing strategies with machine learning using Python and R

Hands-On Data Science for Marketing - Free PDF Download ~ Hands-On Data Science for Marketing: Optimize your marketing strategies through analytics and machine learning. Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry.

Hands-On Data Science for Marketing - GitHub ~ Hands-On Data Science for Marketing. This is the code repository for Hands-On Data Science for Marketing, published by Packt. Improve your marketing strategies with machine learning using Python and R. What is this book about? Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the .

Download eBook - Hands-On Data Science for Marketing ~ Hands-On Data Science for Marketing: Improve your marketing strategies with machine learning using Python and R. Author: Yoon Hyup Hwang. Edition:- . but also discover the concept of A/B testing and implement it using Python and R. By the end of this book, you will be well-versed with a variety of data science and machine learning techniques .

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Hands-On Data Science for Marketing: Improve your ~ Optimize your marketing strategies through analytics and machine learning. Key Features Understand how data science drives successful marketing campaigns Use machine learning for better customer engagement, retention, and product recommendations Extract insights from your data to optimize marketing strategies and increase profitability Book Description

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Summary - Hands-On Data Science for Marketing ~ Using customer analytics, you can monitor and track KPIs on how customers react to different products and marketing strategies, effectively build segments of similar customers, and build predictive models to improve engagement and retention rates, as well as optimize marketing channels. In the next.

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