https://github.com/jofaval/xgboost-cheatsheet

Quick cheatsheet about XGBoost, a Gradient Boosted regularized technique published in 2014
https://github.com/jofaval/xgboost-cheatsheet

cheatsheet data-science google-colab python xgboost xgboost-classifier xgboost-regressor

Last synced: 9 months ago
JSON representation

Quick cheatsheet about XGBoost, a Gradient Boosted regularized technique published in 2014

• Host: GitHub
• URL: https://github.com/jofaval/xgboost-cheatsheet
• Owner: jofaval
• License: gpl-3.0
• Created: 2022-06-20T15:39:10.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2022-06-30T13:44:40.000Z (over 3 years ago)
• Last Synced: 2025-02-04T13:19:24.500Z (11 months ago)
• Topics: cheatsheet, data-science, google-colab, python, xgboost, xgboost-classifier, xgboost-regressor
• Language: Jupyter Notebook
• Homepage: https://colab.research.google.com/github/jofaval/xgboost-cheatsheet/blob/master/notebook.ipynb
• Size: 157 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

          
# XGBoost #

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jofaval/xgboost-cheatsheet/blob/master/notebook.ipynb)

## Description

Just a quick and easy cheatsheet notebook about the powerful and notorious XGBoost Machine Learning technique.

It's meant to be as an easy way to copy and paste cells to have, at least, some base from where to start, and also to grasp what was all the movement with XGBoost about

## Why?

Just finished my master's on Artificial Intelligence and Big Data. Browsing around XGBoost appeared as an in-demand tool used at top-tier companies and it tickled my curiousity.

## Level

Junior level, both the notebook and the target audience.