Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Data Science Ipython Notebooks vs Handson ML3
How do Data Science Ipython Notebooks and Handson ML3 compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Data Science Ipython Notebooks | Handson ML3 |
|---|---|---|
| What it is | Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning. | A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Data Science Ipython Notebooks and Handson ML3.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.







