Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Learn-Python vs Hands-on Train and Deploy ML
How do Learn-Python 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 | Learn-Python | Hands-on Train and Deploy ML |
|---|---|---|
| What it is | A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code. | 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 |
Other options to consider
Sites similar to both Learn-Python and Hands-on Train and Deploy ML.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.







