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- USA
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Ships within 48 hours · Estimated delivery Jul 9 - Jul 14
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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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4.0 ★★★★★
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Product Reviews
★★★★★ 3
Not that sturdy
Not that sturdy and not as adjustable as I would like it
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Reviewed in the United States on May 19, 2026
★★★★★ 5
Loving it so far
I’ve only had this about a week but I like it so far. It has a hook that grabs the vent blade and is very sturdy. It also has a part that slides up and down. I realized after a few days that can be tightened as well. Makes the phone even more still. There is a small button on the right that releases the arms that grab the phone. I didn’t see that noted on the instructions so mentioning it here so no one pulls on them like I did a few times.
As long as this doesn’t damage my vent, I will be pleased.
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Reviewed in the United States on April 21, 2026
★★★★★ 5
Stays put butc.
Never falls out. The ventures is amazing. Bm
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Reviewed in the United States on May 13, 2026
★★★★★ 5
great value for your money !! works great
for the price you can beat this Sees Car Buffer .. the power is great ! I sanded a table I am working on to refinish and it came out perfect and smooth .. great value for your money for sure , was very easy to use .. I have only used it once but plan on using the the buffer on the stone pillars after I refinish the marble ... love having two kind of handles .
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Reviewed in the United States on May 30, 2026
★★★★★ 5
Variable speed
Works very well, I like the variable speed. The pads a of good quality. I would recommend the buffer for anyone who wants a good tool that will last.
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Reviewed in the United States on May 17, 2026