aburkov/theMLbook resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2034 stars · 590 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Python code that reproduces the illustrations from Andriy Burkov's The Hundred-Page Machine Learning Book. It serves as a hands-on companion to the book, demonstrating core ML algorithms like SVMs, neural networks, ensembles, and clustering.

Use cases

• learn machine learning by running code examples
• reproduce book illustrations in python
• understand how svm and neural network algorithms work
• study machine learning alongside the hundred-page book
• get example implementations of clustering and ensemble methods
• prepare for machine learning interviews with practical code

When to choose

• you are reading The Hundred-Page Machine Learning Book and want runnable code
• you want concise, minimal implementations of classic ML algorithms
• you are a software engineer transitioning into machine learning

When to avoid

• you need a production-ready machine learning library
• you want a comprehensive course or dataset rather than book companion code
• you need deep learning frameworks or GPU training pipelines

Facets

learning-resource · maturity maintenance

machine-learning data-science machine-learning education tutorials python book-companion-code illustrations supervised-learning neural-networks svm clustering

Member repositories

For agents

markdown · JSON · MCP: product_card(name="aburkov/theMLbook")