- Data Analysis
- Deep Learning
- Decision Tree Learning
- Logistic Regression
- Probability & Statistics
- Applied Machine Learning
- Risk Modeling
- Forecasting
- Feature Engineering
- Predictive Modeling
- Model Evaluation
- Random Forest Algorithm
AI for Medical Prognosis
Completed by Andrew Murphy Simmons
July 15, 2020
29 hours (approximately)
Andrew Murphy Simmons'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
