# Freemanzxp/GBDT\_Simple\_Tutorial

<https://repo.masters-masters.com/en/repos/Freemanzxp/GBDT_Simple_Tutorial>

[Home](https://repo.masters-masters.com/en) › [Freemanzxp](https://repo.masters-masters.com/en/owners/Freemanzxp) › [GBDT\_Simple\_Tutorial](https://repo.masters-masters.com/en/repos/Freemanzxp/GBDT_Simple_Tutorial)

Freemanzxp/GBDT\_Simple\_Tutorial has 736 stars on GitHub. Its RepoMasters card: Beta tier. python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient…

| Field | Value |
| --- | --- |
| Owner | [Freemanzxp](https://repo.masters-masters.com/en/owners/Freemanzxp) |
| Stars | 736 |
| Forks | 195 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | gbdt, gradient-boosting, gradient-boosting-decision-trees, machine-learning, gnm |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Freemanzxp/GBDT\_Simple\_Tutorial](https://github.com/Freemanzxp/GBDT_Simple_Tutorial) |

## Repository

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decisi…

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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