GitHub / liupei101 / Tutorial-Machine-Learning-Based-Survival-Analysis
This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.
Stars: 28
Forks: 13
Open issues: 1
License: None
Language: Jupyter Notebook
Size: 42 KB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: about 1 year ago
Pushed at: over 6 years ago
Last synced at: about 1 year ago
Topics: gbm, machine-learning, r, random-forest, survival-analysis, xgboost