Education & learning

start-machine-learning · In-depth Guide

analytics / visualization in Education & Learning: 未标注, MIT, GitHub stars 5309

¥3.9 一次性

About this listing

Role: analytics / visualization for analysts, operators and product managers who report numbers
Stack: 未标注; difficulty medium
License: MIT (permissive)
Source: GitHub · fetched 2026-11-02
Activity: last push about 9 months ago, slower cadence

Problem: turns raw data into readable charts and metrics, focused on Cheat-sheets. Audience: analysts, operators and product managers who report numbers. Stack & setup: 未标注, connect data sources and define metric semantics; mind privacy and retention, difficulty medium. Difference: it ships under MIT (permissive), which makes the licensing position relatively clear. Risk: permissive terms still require preserving copyright and license notices, and trademark/patent clauses may apply.

A licensed delivery file is generated after payment and downloadable from the delivery page.

Public fact metadata

License	MIT
Primary language	unknown (not verified)
Platform / topics	GitHub · artificial-intelligence · cheat-sheets · course
GitHub stars	5.3k
Last push	2026-01-23
Source	https://github.com/louisfb01/start-machine-learning
Homepage	https://www.louisbouchard.ai/learnai/
Docs	https://github.com/louisfb01/start-machine-learning#readme
Demo	https://www.louisbouchard.ai/learnai/
Verified at	2026-11-04

Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.

What you get

1 份 Markdown 交付文件，共 11 个章节：

一句话定位
公开事实元数据（抓取时快照）
1. 解决什么问题
2. 适用人群
3. 技术栈与部署门槛
4. 与同类项目的差异
5. 已知短板与风险
上手路径建议
选型自检 3 问
30 分钟验货清单
合规与使用边界

Compatibility

Platform / topics	artificial-intelligence · cheat-sheets · course
License	MIT

FAQ

买到的是什么形式？

一份 Markdown 交付文件，含 11 个章节（一句话定位 / 公开事实元数据（抓取时快照） / 1. 解决什么问题 / 2. 适用人群等），付款后生成带授权码的下载文件。

许可证是否允许商用？

元数据记录为 MIT；具体商用范围以原仓库 LICENSE 原文为准，本店不额外授予权利。

项目还在维护吗？

最近一次上游提交：2026-01-23，数据抓取时间 2026-11-04。

Comparison

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ASRT_SpeechRecognition · 深度导读卡	¥3.9	GPL-3.0	2026-04-10
reinforcement-learning-an-introduction · 深度导读卡	¥3.9	MIT	2024-08-09
RSPapers · 深度导读卡	¥3.9	MIT	2026-10-26