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Machine Learning for Healthcare Analytics Projectsaria expanded"true" class"a expander content a expander partial collapse content a expander content expanded" style'box sizing: border box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font family: "Amazon Ember", Arial, sans serif; font size: 14px; padding bottom: 20px;' style"box sizing: border box; padding: 0px 0px 4px; margin: 0px; text rendering: optimizelegibility; font weight: 700; font size: 18px; line height: 24px;"Book
aria-expanded"true" class"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded" style'box-sizing: border-box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font-family: "Amazon Ember", Arial, sans-serif; font-size: 14px; padding-bottom: 20px;' style"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px;"Book Description "box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;"Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics. "box-sizing: border-box; padding: 0px; margin: -4px 0px 14px;"This book will teach you how to implement key machine learning algorithms and walk you through their use cases employing a range of libraries from the Python ecosystem. You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain new insights, which will then help you handle healthcare data efficiently. As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients. You will also learn how to predict heart diseases using neural networks. "box-sizing: border-box; padding: 0px; margin: -4px 0px 14px;" the end of this book, you will have learned how to address long-standing challenges, provide specialized solutions for how to deal with them, and carry out a range of cognitive tasks in the healthcare domain. style'box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: "Amazon Ember", Arial, sans-serif;'Key FeaturesShipping Notes
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4.4 ★★★★★
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★★★★★ 5
Genuine leather wallet
Color: Brown
I like the wallet very much. It has plenty of room for my credit cards, ID cards and other items. Also plenty room for cash money.
It’s well made and I expect it will last several years before needing replacement.
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Reviewed in the United States on June 1, 2026
★★★★★ 4
Great Product
Color: Black
This wallet comes with thirteen card slots, two cash pockets and one ID window. It’s made of top-grain leather and fits easily in your back pocket. Available in eleven colors. Also makes a great gift.
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Reviewed in the United States on January 24, 2026
★★★★★ 5
Nice, spacious leather wallet
Color: Dark Coffee Brown
Nice quality leather wallet, lots of places to put IDs and credit cards. I'll take it that it is RFID blocking, no way of testing that!! If you like to keep photos and other IDs in the clear plastic windows, you'll need to buy those separately. Still, this is a nice wallet, good quality, holds my "stuff" -- I'm happy!
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Reviewed in the United States on April 13, 2026
★★★★★ 5
Quality craftsmanship
Color: Brown
Great design , love it so far has plenty of room
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Reviewed in the United States on May 26, 2026
★★★★★ 5
Good, Functional Wallet
Color: Black
Good, functional wallet for the money.
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Reviewed in the United States on June 2, 2026
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