Machine Learning for Medical Data
Completed by Paul Ndirangu Waweru
July 26, 2026
10 hours (approximately)
Paul Ndirangu Waweru'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: Health Informatics
- Category: Machine Learning Algorithms
- Category: Model Training
- Category: Machine Learning
- Category: Data Analysis
- Category: Machine Learning Methods
- Category: Predictive Modeling
- Category: Recurrent Neural Networks (RNNs)
- Category: Statistical Machine Learning
- Category: Electronic Medical Record System
- Category: Healthcare Ethics
- Category: Decision Intelligence
