Looking for something like Machine Learning Roadmap? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 5 are open source.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Codecademy's Data Science | — | Not stated | Web |
| 2 | Machine Learning Visualized | — | Yes | — |
| 3 | Hands-on Train and Deploy ML | — | Yes | — |
| 4 | Handson ML3 | — | Yes | — |
| 5 | ML Engineering | — | Not stated | — |
| 6 | Scipy Lectures | — | Not stated | Web |
| 7 | IAILab | — | Not stated | Web |
| 8 | Virgilio | — | Not stated | Web |
| 9 | Sourcecodester | — | Not stated | Web |
| 10 | Tpoint Tech | — | Not stated | Android, Web |
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
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.
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.
Virgilio organizes data science e-learning resources in a structured project overview.
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.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
ItSourceCode offers free source code, capstone projects, and programming tutorials in several languages.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
Roadmap.sh publishes community-created developer roadmaps, guides, articles, and courses for learning technical skills.
StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
Machine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
This curated AI and machine learning guide organizes over 228 learning resources across 30 sections.
ProjectLearn teaches programming through projects across web, mobile, game development, machine learning, and artificial intelligence.
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
Mallet provides machine learning tools for language processing, according to its project title.
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
