AIbase
Home

Tutorial-Machine-Learning-Based-Survival-Analysis

Public

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.

gbmmachine-learningrrandom-forestsurvival-analysisxgboost
Creat：2018-11-30T16:51:42
Update：2025-03-14T10:01:19
33
Stars
0
Stars Increase

Related projects

Tensorflow

deep-learning

An Open Source Machine Learning Framework for Everyone

192719
3年前
+38today

Stable Diffusion Webui

Hot
ai

Stable Diffusion web UI

158833
2年前
+73today

Transformers

Hot
bert

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

153615
3年前
+136today

30 Seconds Of Code

astro

Coding articles to level up your development skills

125990
1年前
+35today

Pytorch

Hot
autograd

Tensors and Dynamic neural networks in Python with strong GPU acceleration

95701
1年前
+88today

Opencv

c-plus-plus

Open Source Computer Vision Library

85202
8年前
+42today

Netdata

alerting

X-Ray Vision for your infrastructure!

76944
1年前
+31today

D2l Zh

Hot
book

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

74277
1年前
+60today

Cs Video Courses

Hot
algorithms

List of Computer Science courses with video lectures.

70343
1年前
+91today

Lobe Chat

Hot
ai

? Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Plugins/Artifacts) and Thinking. One-click FREE deployment of your private ChatGPT/ Claude / DeepSeek application.

68780
1年前
+205today