- Model Evaluation
- Data Preprocessing
- Deep Learning
- Predictive Modeling
- Logistic Regression
- Risk Modeling
- Statistical Analysis
- Forecasting
- Applied Machine Learning
- Random Forest Algorithm
- Feature Engineering
- Decision Tree Learning
AI for Medical Prognosis
Completed by Yen-Fen Ko
May 8, 2020
29 hours (approximately)
Yen-Fen Ko'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
