Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Open source
24 alternativesAndrew Ng’s Machine Learning at Stanford University
vsAutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Andrew Ng’s Machine Learning at Stanford University vs AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
How do Andrew Ng’s Machine Learning at Stanford University and AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Andrew Ng’s Machine Learning at Stanford University | AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics |
|---|---|---|
| What it is | This Coursera course teaches supervised machine learning, regression, and classification with Python. | This repository provides a tutorial implementation of AutoML for batch and online learning. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Visit Andrew Ng’s Machine Learning at Stanford UniversityVisit AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
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