Virgilio
virgili0.github.io/VirgilioVirgilio organizes data science e-learning resources in a structured project overview.
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.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Virgilio | — | Not stated | Web |
| 2 | Data Science Ipython Notebooks | — | Not stated | — |
| 3 | Awesome DataScience | — | Yes | — |
| 4 | Coding Questions | — | Not stated | Web |
| 5 | Deep ML | — | Not stated | Web |
| 6 | ML YouTube Courses | — | Yes | — |
| 7 | ML Course Notes | — | Not stated | — |
| 8 | Machine Learning Visualized | — | Yes | — |
| 9 | Hands-on Train and Deploy ML | — | Yes | — |
| 10 | Learn-Python | — | Yes | — |
Virgilio organizes data science e-learning resources in a structured project overview.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
This Awesome DataScience repository collects learning material and resources about data science.
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.
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.
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.
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.
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.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
Tpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.
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.
ItSourceCode offers free source code, capstone projects, and programming tutorials in several languages.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
The first edition of R for Data Science teaches data import, transformation, visualization, and modeling with R.
The cs-video-courses list links to computer science courses that include video lectures for learners.
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