- Continuous Monitoring
- Data Manipulation
- Machine Learning Methods
- MLOps (Machine Learning Operations)
- Predictive Modeling
- Docker (Software)
- Feature Engineering
- Continuous Deployment
- Health Informatics
- Statistical Machine Learning
- Application Programming Interface (API)
- Dashboard
MLOps in R: Deploying machine learning models using vetiver
Completed by Richard Acheampong
October 11, 2024
2 hours (approximately)
Richard Acheampong's account is verified. Coursera certifies their successful completion of MLOps in R: Deploying machine learning models using vetiver
What you will learn
Prepare and build a stacked ensemble model for deployment.
Version and deploy a machine learning model using vetiver.
Predict and use monitoring tools and techniques to track model performance.
Skills you will gain
