courseraАнализ данных

Machine Learning for Kyphosis Disease Classification

Курс от Coursera

Начальный≈ 1.9 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Machine Learning Scikit Learn (Machine Learning Library)Classification And Regression Tree (CART)Applied Machine Learning Python Programming Feature Engineering Data Cleansing Data Preprocessing Decision Tree Learning Model Training Data Visualization Software Random Forest Algorithm Predictive Modeling Machine Learning Algorithms Data Science Data Wrangling

Программа курса

1 модулей · 4 учебных материалов

01Project Overview4 материалов

Your Learning Journey

Project OverviewЧтение Machine Learning for Kyphosis Disease ClassificationЛабораторная Assess Your KnowledgeЗадание Course End Survey - We appreciate your feedback!

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)