机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
active 2023-10-04 → 2026-01-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 828 days from 2023-10-04 to 2026-01-08. Pushes: 51 total, peak 17 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 7 total, peak 5 in a day. Comments: 4 total, peak 4 in a day. Stars: 21 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| yaozhenfa | 64 | 51 | 2 | 4 |
Recent activity
Latest issues, pull requests and releases
- Pull request#19yaozhenfa2025-06-01 04:22
- Pull request#19yaozhenfa2025-06-01 04:13
- Issue comment#18yaozhenfa2025-02-09 05:19历史遗留代码的转jupyterlab工程并适配目前主流的torch进行测试
- Issue comment#18yaozhenfa2025-02-09 05:15历史遗留代码的转jupyterlab工程并适配目前主流的torch进行测试
- Issue comment#18yaozhenfa2025-02-09 05:13历史遗留代码的转jupyterlab工程并适配目前主流的torch进行测试
- Issue comment#18yaozhenfa2025-02-09 05:08历史遗留代码的转jupyterlab工程并适配目前主流的torch进行测试
- Issue#18yaozhenfa2025-02-09 05:08历史遗留代码的转jupyterlab工程并适配目前主流的torch进行测试
- Issue#5yaozhenfa2025-02-09 05:03sklearn需要增加额外的参数说明
- Issue#15yaozhenfa2025-02-09 05:03增加特征工程
- Issue#17yaozhenfa2025-02-09 05:03增加常用基准测试的数据集使用方式
- Issue#16yaozhenfa2025-02-09 05:03针对IOU算法进行补充
- Issue#17yaozhenfa2023-10-04 08:21增加常用基准测试的数据集使用方式
- Issue#16yaozhenfa2023-10-04 07:10针对IOU算法进行补充
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 21 stars here means stars gained during the window, not the repo's star count.