Machine Learning for Medical Data
Completed by Liza Cordero
July 3, 2026
10 hours (approximately)
Liza Cordero'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: Machine Learning Methods
- Category: Machine Learning
- Category: Data Analysis
- Category: AI Personalization
- Category: Convolutional Neural Networks
- Category: Statistical Machine Learning
- Category: Electronic Medical Record System
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Recurrent Neural Networks (RNNs)
- Category: Machine Learning Algorithms
- Category: Model Evaluation
