# codewithzichao/Machine\_Learning\_Code

<https://repo.masters-masters.com/en/repos/codewithzichao/Machine_Learning_Code>

[Home](https://repo.masters-masters.com/en) › [codewithzichao](https://repo.masters-masters.com/en/owners/codewithzichao) › [Machine\_Learning\_Code](https://repo.masters-masters.com/en/repos/codewithzichao/Machine_Learning_Code)

codewithzichao/Machine\_Learning\_Code has 246 stars on GitHub. Its RepoMasters card: Prototype tier. 《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python…

| Field | Value |
| --- | --- |
| Owner | [codewithzichao](https://repo.masters-masters.com/en/owners/codewithzichao) |
| Stars | 246 |
| Forks | 52 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | python, machine-learning-algorithms, xgboost, fm-ffm, hmm, crf |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [codewithzichao/Machine\_Learning\_Code](https://github.com/codewithzichao/Machine_Learning_Code) |

## Repository

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.