- 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 JHON FELIPE URREGO MEJIA
October 26, 2021
29 hours (approximately)
JHON FELIPE URREGO MEJIA'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
