[PR #829] [MERGED] XGBoost is a Kaggle favorite! #9776

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GiteaMirror · 2026-04-24T05:11:45-05:00

GiteaMirror commented

2026-04-24 05:11:45 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/829
Author: @jonmhong
Created: 2/2/2017
Status: ✅ Merged
Merged: 2/2/2017
Merged by: @vinta

Base: master ← Head: master

📝 Commits (2)

e22c3fa Resolve Issue [PR #913] [CLOSED] Bringing fork up to date (#821)
2a07c91 Resolved Issue [PR #913] [CLOSED] Bringing fork up to date (#821)

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

XGBoost is a gradient boosting library. It's one of the most popular GB libraries used among Kaggle users because it's yielded some of the highest scores. And its also a favorite with some of the champions.
Here's an example of its use with an Otto dataset: https://www.kaggle.com/tqchen/otto-group-product-classification-challenge/understanding-xgboost-model-on-otto-data
Here is a Kaggle first place team winner, showing their love for it: http://blog.kaggle.com/2015/12/03/dato-winners-interview-1st-place-mad-professors/
Describe features.

What's the difference between this Python project and similar ones?

This library is solely for gradient boosting.
This resolves issue #821.
Enumerate comparisons.

--

Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/829 **Author:** [@jonmhong](https://github.com/jonmhong) **Created:** 2/2/2017 **Status:** ✅ Merged **Merged:** 2/2/2017 **Merged by:** [@vinta](https://github.com/vinta) **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (2) - [`e22c3fa`](https://github.com/vinta/awesome-python/commit/e22c3fa8f4e2d2b112dc2c1df8fd420050723885) Resolve Issue #821 - [`2a07c91`](https://github.com/vinta/awesome-python/commit/2a07c9155c79b88d8407522eb74f536f5caaebc9) Resolved Issue #821 ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? XGBoost is a gradient boosting library. It's one of the most popular GB libraries used among Kaggle users because it's yielded some of the highest scores. And its also a favorite with some of the champions. Here's an example of its use with an Otto dataset: https://www.kaggle.com/tqchen/otto-group-product-classification-challenge/understanding-xgboost-model-on-otto-data Here is a Kaggle first place team winner, showing their love for it: http://blog.kaggle.com/2015/12/03/dato-winners-interview-1st-place-mad-professors/ Describe features. ## What's the difference between this Python project and similar ones? This library is solely for gradient boosting. This resolves issue #821. Enumerate comparisons. -- Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-24 05:11:45 -05:00

GiteaMirror closed this issue

2026-04-24 05:11:47 -05:00

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Reference: github-starred/awesome-python#9776