A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternativesAlgorithms-Cheatsheet-Resources
vsHands-on Train and Deploy ML
Algorithms-Cheatsheet-Resources vs Hands-on Train and Deploy ML
How do Algorithms-Cheatsheet-Resources and Hands-on Train and Deploy ML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Algorithms-Cheatsheet-Resources | Hands-on Train and Deploy ML |
|---|---|---|
| What it is | Algorithms Cheatsheet Resources collects reference material for programming and algorithms. | This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps. |
| 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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