Machine Learning for Kyphosis Disease Classification
The objective of this project is to predict whether a patient has kyphosis or not, based on given features and diagnostic measurements such as age and number of vertebrae. Kyphosis is an abnormally excessive convex curvature of the spine. This guided project is practical and directly applicable to the healthcare industry. You can add this project to your portfolio of projects which is essential for your next job interview.
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- Level Beginner
- Duration 3 hours
- Course by Coursera Project Network
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The objective of this project is to predict whether a patient has kyphosis or not, based on given features and diagnostic measurements such as age and number of vertebrae. Kyphosis is an abnormally excessive convex curvature of the spine. This guided project is practical and directly applicable to the healthcare industry. You can add this project to your portfolio of projects which is essential for your next job interview.Modules
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- Machine Learning for Kyphosis Disease Classification
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"Machine Learning for Kyphosis Disease Classification" is a foundational Coursera course in Data Science & AI, taught by expert instructors. Over 120 minutes, learners will engage in a practical project to predict kyphosis in patients using diagnostic data. Ideal for those looking to enhance their healthcare industry portfolio, this course offers a hands-on, applicable learning experience through a Starter subscription. Perfect for beginners aiming to boost their job interview prospects.
Ryan Ahmed