- Model Evaluation
- Feature Engineering
- Machine Learning
- Predictive Modeling
- Applied Machine Learning
- Random Forest Algorithm
- Data Preprocessing
- Data Analysis
- Probability & Statistics
- Forecasting
- Statistical Analysis
- Deep Learning
AI for Medical Prognosis
Completed by Seyyed Mohammad Masoud Parpanchi
August 30, 2020
29 hours (approximately)
Seyyed Mohammad Masoud Parpanchi'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
