Machine Learning for Kyphosis Disease Classification

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Machine Learning for Kyphosis Disease Classification

Coursera · Beginner ·📐 ML Fundamentals ·1mo ago
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.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Python Programming Course in Delhi
Learn Python programming with a practical course in Delhi, designed for beginners and students
Medium · Python
Choosing the Right Architecture: A Software Engineer’s Field Guide to Neural Networks
Learn to choose the right neural network architecture for your AI project and understand the key considerations involved
Medium · Data Science
Chandra OCR 2: When Open Source Reads What Others Miss
Improve text extraction from documents with Chandra OCR 2, an open-source solution that outperforms others in accuracy
Medium · Machine Learning
The hidden value of teaching ML to Non-ML teams
Teaching ML to non-ML teams can break knowledge silos and increase project success, making it a valuable investment for companies
Medium · Machine Learning
Up next
Think in JavaScript – The Hard & Conceptual Parts (Full Course)
freeCodeCamp.org
Watch →