- Forecasting
- Predictive Modeling
- Applied Machine Learning
- Probability & Statistics
- Data Preprocessing
- Random Forest Algorithm
- Logistic Regression
- Model Evaluation
- Risk Modeling
- Decision Tree Learning
- Statistical Analysis
- Feature Engineering
AI for Medical Prognosis
Completed by LEILAI SHAO
September 14, 2020
29 hours (approximately)
LEILAI SHAO'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
