rasbt/pattern_classification resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4211 stars · 1276 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of tutorials, Jupyter notebooks, and examples covering pattern classification, machine learning, and data mining. It explains concepts like preprocessing, model evaluation, and classic algorithms (Bayes, logistic regression, neural networks, ensembles, clustering) with runnable Python code.

Use cases

• learn machine learning fundamentals with worked examples
• understand pattern classification algorithms step by step
• see how to preprocess and scale features for classification
• study model evaluation and parameter estimation techniques
• find example notebooks for PCA and dimensionality reduction
• get references and resources for data mining topics

When to choose

• you want tutorial-style notebooks explaining ML concepts with code
• you are learning scikit-learn-based classification workflows
• you need reference material on classic algorithms like Bayes classifiers and ensemble methods

When to avoid

• you need a production-ready ML library or framework
• you want modern deep learning tutorials (content is mostly classical ML)
• you need actively updated content for the latest library versions

Facets

learning-resource · maturity maintenance

machine-learning data-science data-visualization nlp machine-learning data-science tutorials education python cross-platform jupyter-notebooks pattern-classification tutorials scikit-learn data-mining

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rasbt/pattern_classification")