- Logistic Regression
- Forecasting
- Model Evaluation
- Probability & Statistics
- Risk Modeling
- Data Analysis
- Feature Engineering
- Applied Machine Learning
- Predictive Modeling
- Random Forest Algorithm
- Statistical Analysis
- Data Preprocessing
AI for Medical Prognosis
Completed by Julen Arizaga Echebarria
May 18, 2020
29 hours (approximately)
Julen Arizaga Echebarria'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
