- Random Forest Algorithm
- Statistical Analysis
- Predictive Modeling
- Logistic Regression
- Feature Engineering
- Applied Machine Learning
- Risk Modeling
- Data Preprocessing
- Decision Tree Learning
- Forecasting
- Deep Learning
- Model Evaluation
AI for Medical Prognosis
Completed by SZE KOON LEE
December 30, 2020
29 hours (approximately)
SZE KOON LEE'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
