Looking for something like ML YouTube Courses? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 10 are open source.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | ML Course Notes | — | Not stated | — |
| 2 | Awesome DataScience | — | Yes | — |
| 3 | Coding Questions | — | Not stated | Web |
| 4 | Deep ML | — | Not stated | Web |
| 5 | Data Science Ipython Notebooks | — | Not stated | — |
| 6 | Virgilio | — | Not stated | — |
| 7 | Virgilio | — | Not stated | Web |
| 8 | Scipy Lectures | — | Not stated | Web |
| 9 | LearnAIFromScratch | — | Not stated | Web |
| 10 | Awesome Certificates | — | Yes | — |
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
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.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
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.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
Learn AI From Scratch presents a draft curriculum covering foundational topics for building an understanding of artificial intelligence.
Awesome Certificates collects more than 200 free courses and over 20,000 hours of learning material.
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.
Awesome Data Analysis collects more than 500 resources for data analysis and data science.
The Zasper project describes an IDE for working with Jupyter notebooks.
egghead offers expert-led courses and curated resources for modern web development.
A curated list collects free IT, computer science, design, and business courses that include certificates.
A curated collection gathers learning resources for generative AI, machine learning, LLMs, RAG, and related topics.
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Learn PHP collects curated resources for learning and practicing the PHP programming language.
web.dev provides resources for learning web development, including guides and material that readers can organize into collections.
This curated AI and machine learning guide organizes over 228 learning resources across 30 sections.
Machine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
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
