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
vsML-From-Scratch
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics vs ML-From-Scratch
How do AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics and ML-From-Scratch 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 | ML-From-Scratch |
|---|---|---|
| What it is | This repository provides a tutorial implementation of AutoML for batch and online learning. | ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
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