- Data Analysis
- Forecasting
- Risk Modeling
- Regression Analysis
- Probability & Statistics
- Machine Learning
- Decision Tree Learning
- Deep Learning
- Predictive Modeling
- Feature Engineering
- Random Forest Algorithm
- Applied Machine Learning
AI for Medical Prognosis
Completed by Justin Namuk Kim
January 7, 2024
29 hours (approximately)
Justin Namuk Kim's account is verified. Coursera certifies their successful completion of AI for Medical Prognosis
What you will learn
Walk through examples of prognostic tasks
Apply tree-based models to estimate patient survival rates
Navigate practical challenges in medicine like missing data
Skills you will gain
