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