Drexel Classifieds>Drexel Online Courses>Machine Learning for Kyphosis Disease Classification

Machine Learning for Kyphosis Disease Classification

About this Course

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.

Created by: Coursera Project Network


Related Online Courses

Embark on an exciting journey into the thriving realm of project management and prepare for a promising career ahead. In this program, you\'ll gain invaluable skills, knowledge, and a robust... more
Developing software challenges you to think in different ways and to come up with creative solutions to problems in a range of industries. So if you are a problem solver who likes to be challenged,... more
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on... more
Master the skills to confidently support macOS 11 Big Sur with this comprehensive course designed for aspiring Apple Certified Support Professionals. You\'ll gain a deep understanding of macOS... more
This specialization is intended for those who want to take their skills beyond just coding. Developer operations (DevOps) refers to the tools and practices software developers use to automate and... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL