定价
- First chapter of every course included
- Create a professional profile included
- Live code-alongs included
- Access to 720+ courses
- AI Native course credits included
- Earn certificates
- Everything in Premium plus manage your group
- License management tools
- View learning activity and track progress
定价 来自官网,验证于 Jun 2026。请务必在供应商官网确认当前价格。
优缺点
我们的分析优点
- Browser-based environment; no local setup needed
- ~90 hours of hands-on Python and ML material
- Progress tracking and skill gap assessments included
- Content updated regularly with new libraries
- Covers full ML pipeline from basics to neural networks
缺点
- No free tier available
- Paid subscription required from the start
- No API or integration hooks
用户评价
DataCamp's Machine Learning Scientist track is commonly used by developers who know Python basics and want a structured, hands-on route into machine learning without managing a local environment. A frequently noted strength is the browser-based coding setup and regular content updates. A common limitation is the absence of a free tier, requiring a paid subscription to access the full 90-hour curriculum.
基于公开信息的编辑摘要.
最适合
Python developers seeking a structured path into machine learning
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DataCamp – Machine Learning Scientist with Python
| 功能 | ||
|---|---|---|
| 定价 | 付费 | 免费增值 |
| 起价 | $28/mo | — |
| 免费方案 | 否 | 是 |
| API | 否 | 是 |
| 开源 | 否 | 否 |
| 平台 | Desktop | API |
| 模型 | Datacamp | Connectedpapers |
| 上下文窗口 | 8k | — |
| 上线时间 | 2014 | 2025 |
DataCamp – Machine Learning Scientist with Python 的最佳替代方案
查看所有替代方案 →验证于 Jun 2026
规格
| 定价 | 付费 |
|---|---|
| 起价 | $28/mo |
| 免费方案 | 否 |
| API | 否 |
| 开源 | 否 |
| 平台 | Desktop |
| 模型 | Datacamp |
| 上下文窗口 | 8k |
| 上线时间 | 2014 |

