pbharrin/machinelearninginaction resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2402 stars · 1779 forks observed · 2026-08-28

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

Source code repository accompanying the Manning book 'Machine Learning in Action' by Peter Harrington. It contains Python example code (written for Python 2.6/2.7 with NumPy) demonstrating classic machine learning algorithms.

Use cases

• learn machine learning algorithms from a book with runnable code
• study classic ML examples like kNN, decision trees, SVM, and k-means
• follow along with the Machine Learning in Action textbook chapter by chapter
• find reference implementations of fundamental ML algorithms in Python
• teach an intro machine learning course with existing example code

When to choose

• you are reading the Machine Learning in Action book and want its official code
• you want simple, educational implementations of classic ML algorithms
• you work in Python 2.7 or are willing to port small examples to Python 3

When to avoid

• you need production-ready or maintained machine learning libraries
• you require Python 3 support out of the box
• you want modern ML techniques like deep learning or transformers
• you need a project with an active community or license

Facets

learning-resource · maturity abandoned

machine-learning data-science machine-learning tutorials data-science python cross-platform book-code python2 numpy textbook-examples manning

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