Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Open source
24 alternativesML-From-Scratch
vsAndrew Ng’s Machine Learning at Stanford University
ML-From-Scratch vs Andrew Ng’s Machine Learning at Stanford University
How do ML-From-Scratch 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 | ML-From-Scratch | Andrew Ng’s Machine Learning at Stanford University |
|---|---|---|
| What it is | ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep 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 |
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