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