- Data Preprocessing
- Random Forest Algorithm
- Predictive Modeling
- Probability & Statistics
- Statistical Analysis
- Applied Machine Learning
- Model Evaluation
- Forecasting
- Data Analysis
- Logistic Regression
- Feature Engineering
- Decision Tree Learning
AI for Medical Prognosis
Completed by Aigerim Zhusubalieva
October 31, 2024
29 hours (approximately)
Aigerim Zhusubalieva '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
