DLSEI 3.0 Cohort 3 registration has been closed.

Machine Learning for Kyphosis Disease Classification

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

4.54★

Rating out of 5

Guided project Level

Recommended experience

2.00 Hours

Learn at your own pace

Data Science

Domain

About this guided project

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.

What skills will you gain?

Machine Learning

Scikit Learn (Machine Learning Library)

Machine Learning Methods

Statistical Machine Learning

Machine Learning Software

Artificial Intelligence and Machine Learning (AI/ML)

Applied Machine Learning

Predictive Modeling

Supervised Learning

Machine Learning Algorithms

Statistical Modeling

Predictive Analytics

Data Science

Random Forest Algorithm