Looking for something like Data Science Ipython Notebooks? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 8 are open source.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Virgilio | — | Not stated | — |
| 2 | Virgilio | — | Not stated | Web |
| 3 | Awesome DataScience | — | Yes | — |
| 4 | Deep ML | — | Not stated | Web |
| 5 | Handson ML3 | — | Yes | — |
| 6 | Coding Questions | — | Not stated | Web |
| 7 | ML YouTube Courses | — | Yes | — |
| 8 | ML Course Notes | — | Not stated | — |
| 9 | Machine Learning Visualized | — | Yes | — |
| 10 | Codecademy's Data Science | — | Not stated | Web |
An open-source initiative, Virgilio guides learners through data science resources and skill development.
Virgilio organizes data science e-learning resources in a structured project overview.
This Awesome DataScience repository collects learning material and resources about data science.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
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.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
Awesome Data Analysis collects more than 500 resources for data analysis and data science.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
OSSU Data Science provides a free study path based on an undergraduate data science curriculum.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
Tpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.
ItSourceCode offers free source code, capstone projects, and programming tutorials in several languages.
The Zasper project describes an IDE for working with Jupyter notebooks.
The first edition of R for Data Science teaches data import, transformation, visualization, and modeling with R.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
