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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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★★★★★ 5
Works well but oily.
Set name: Face - 1.7 oz.
This works well but is not ideal if you want to wear under makeup. It has a very oily consistency. Price is good.
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Reviewed in the United States on November 1, 2025
★★★★★ 3
packed poorly, no respect for customer
Set name: Face - 1.7 oz.
Nice product
Poor packaging
Wonder if grey market
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Reviewed in the United States on June 6, 2026
★★★★★ 5
Better value & quality
I was using the Paula’s brand but stopped ordering because the price kept going up. This came up in my search and it’s almost the same except it has a stronger concentration & has a few more added benefits. It’s also about half the price. This product works great & I’ve been using TruSkin Vit. C moisturizer for years now so I knew their other products work for me and are good quality.
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Reviewed in the United States on May 3, 2026
★★★★★ 5
It works for my Very sensitive skin
This is the most gentle liquid exfoliant I've ever used. I have very sensitive skin and 3xs a week doesn't bother my skin at all!
I Highly recommend it.
DS
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Reviewed in the United States on February 12, 2026
★★★★★ 5
Bye bye ingrowns and dark spots
I love this exfoliant, I've bought it 3 times already. I use it on all my hyperpigmentation on my back, underarms, and face. It really helps with my ingrown hairs and reduces the appearance of dark spots. Super effective, I love it!
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Reviewed in the United States on March 19, 2026
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