Skip to content

On the differences between Bagging, AdaBoost, Gradient Boosting, and XGBoost. (Geman)

Notifications You must be signed in to change notification settings

bertbesser/ml-boosting-basics

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

38 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine Learning Boosting

This Jupyter-Notebook is also part of codecentric's AI Bootcamp.

The interactive notebook illustrates the concepts of

  • sparse matrix representation,

sparse matrix

  • Bagging,
  • AdaBoost,
  • Gradient Boosting,

sparse matrix

  • and XGBoost.

Have fun!

Build and run locally

git clone https://gitlab.codecentric.de/bert.besser/ml-boosting-basics
cd ml-boosting-basics
docker build -t ml-boosting-basics .
docker run --name ml-boosting-basics -p 8888:8888 -v $(pwd)/notebooks:/notebooks ml-boosting-basics
  • Then open browser and navigate to the notebook.
  • Open and run ml-boosting-basics.ipynb.

About

On the differences between Bagging, AdaBoost, Gradient Boosting, and XGBoost. (Geman)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published