MLEveryday/100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

Open original source ↗

From the publisher

README & documentation

Source preview

Read the project’s overview, installation instructions and usage examples. The original README is the source of truth.

零基础/已有基础学习路线 · 实验保存与复现 本项目基于 Avik-Jain 的英文项目,提供中文机器学习学习路线、讲解与练习。 当前覆盖 Day 1~54,Day 55~100 尚未编写。 现有课程已更新数据预处理、模型评价、现代 scikit-learn 和 Keras 3 用法;理论日提供本地说明,图片与外部视频作为辅助资料。 脚本默认把图形保存在 outputs/。打开 Notebook 时按顺序运行所有单元;完整说明见安装文档。深度学习依赖单独安装,基础课程不需要…

MLEveryday/100-Days-Of-ML-Code on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-27T09:23:21.289Z

Inside the original README — Document outline
  1. 机器学习100天
  2. 开始学习
  3. 学习路线
  4. 参与维护

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the README

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

100-Days-Of-ML-Code中文版

Repository facts

Owner
MLEveryday
Primary language
Python
Stars
22,235
Forks
5,458
Open issues + pull requests
18
License
MIT
Archived
No
Default branch
master
Created
2018-08-05T13:32:48.000Z
Last push
2026-10-24T03:23:11.000Z

Topics and intended use

Owner-supplied topics: 100-days-of-ml-code, chinese-simplified, deep-learning, infographics, jupyter-notebook, keras, machine-learning, python, supervised-learning, tensorflow, tutorial, unsupervised-learning

Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.

Evaluate before installing

Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.

README and project files

Issues and maintenance discussion

Releases and changelog

Source and freshness

Source: GitHub. Metadata observed 2026-10-31T12:19:22.904Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related repositories

public-apis/public-apis

EbookFoundation/free-programming-books

donnemartin/system-design-primer

vinta/awesome-python

practical-tutorials/project-based-learning

NousResearch/hermes-agent