Machine Learning for Medical Data
Completed by Brigitta Végh
April 20, 2026
10 hours (approximately)
Brigitta Végh's account is verified. Coursera certifies their successful completion of Machine Learning for Medical Data
What you will learn
Define supervised and unsupervised machine learning techniques used for healthcare datasets.
Apply preprocessing, feature engineering, and class-imbalance management techniques to real healthcare datasets.
Design and implement supervised learning models for disease prediction and clinical decision support tasks.
Evaluate model performance using precision-recall metrics, calibration, and external validation.
Skills you will gain
- Category: AI Personalization
- Category: Data Analysis
- Category: Model Training
- Category: Machine Learning
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Convolutional Neural Networks
- Category: Decision Intelligence
- Category: Healthcare Ethics
- Category: Statistical Machine Learning
