Gradient Boosting Machines

• Category: Machine Learning
• Development language: Python 2.7
• Operating platform / Operating system: windows
• Compilation tools and environment: Spyder
• GitHub download path: https://github.com/Three-Poles/Machine-learning

Method description:

Gradient boosting machine is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees.

Installation: online;

Dependent libraries: sklearn;

QR code:

• 依赖库文件：sklearn

  安装方式：在线安装

  二维码：