Virgilio
github.com/virgili0/VirgilioAn open-source initiative, Virgilio guides learners through data science resources and skill development.
Looking for something like Virgilio? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 7 are open source.
Virgilio organizes data science e-learning resources in a structured project overview.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Virgilio | — | Not stated | — |
| 2 | Data Science Ipython Notebooks | — | Not stated | — |
| 3 | Coding Questions | — | Not stated | Web |
| 4 | Deep ML | — | Not stated | Web |
| 5 | Awesome DataScience | — | Yes | — |
| 6 | ML YouTube Courses | — | Yes | — |
| 7 | ML Course Notes | — | Not stated | — |
| 8 | Learn-Python | — | Yes | — |
| 9 | Scipy Lectures | — | Not stated | Web |
| 10 | IAILab | — | Not stated | Web |
An open-source initiative, Virgilio guides learners through data science resources and skill development.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
This Awesome DataScience repository collects learning material and resources about data science.
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.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
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.
The first edition of R for Data Science teaches data import, transformation, visualization, and modeling with R.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
ItSourceCode offers free source code, capstone projects, and programming tutorials in several languages.
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
Awesome Data Analysis collects more than 500 resources for data analysis and data science.
OSSU Data Science provides a free study path based on an undergraduate data science curriculum.
Machine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
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