Topic: machine-learning
247 skills in this topic.
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testing-patterns
Patterns for testing code effectively. Use when breaking dependencies for testability, adding tests to existing code, understanding unfamiliar code through characterization tests, or deciding how to structure tests. Covers seams, dependency injection, test doubles, and safe refactoring techniques from Michael Feathers.
joelhooks/swarm-tools 603
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data-analysis
Patterns for data loading, exploration, and statistical analysis
Yeachan-Heo/My-Jogyo 162
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experiment-design
Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162
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ml-rigor
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Yeachan-Heo/My-Jogyo 162
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data-analysis
Patterns for data loading, exploration, and statistical analysis
Yeachan-Heo/My-Jogyo 162
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experiment-design
Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162
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ml-rigor
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Yeachan-Heo/My-Jogyo 162