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Description
Hands-On Data Science for MarketingLearn : Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A B testing for better marketing decision making Implement machine learning to understand different customer segments About : Regardless of company size, the
Learn : Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A/B testing for better marketing decision making Implement machine learning to understand different customer segments About :Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies.This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.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 About The Author :Shipping Notes
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4.7 ★★★★★
Based on 9 reviews
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Product Reviews
★★★★★ 5
Realistic
Color: rose steel black dial
Like the style & not trying to be someone I'm not.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 9, 2026
★★★★★ 5
Great Value
Color: 5885 steel black dial
Outstanding quality and value.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 10, 2026
★★★★★ 4
Very stylish but not the best quality
Color: Silvery Gold green dial, Color: Silvery Gold green dial
You are getting what you pay for: the color of the dial is amazing. It looks so stylish and can really accessorize an outfit. The packaging of the watch was very nice and it came with tools to adjust the size of the watch. However the links color is not the best color and quality. The watch feels light but in a cheaper feel. I’ve ordered other watches from Amazon that in my opinion were nicer and felt and looked high end. I got this watch on sale for Black Friday but I’m not sure if I would pay full price for it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 14, 2026
★★★★★ 5
Bracelet opens too easy for any time activity
Color: Silvery green dial 5885
Watch face too small more for women tastes
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Reviewed in the United States on June 6, 2026
★★★★★ 1
Cheap watch
Color: 5885 steel black dial
Beautiful watch but don't get it wet....can't take a shower with it. Do not waste your money save up and get a good watch.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
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