GitHub / MvMukesh / FeatureSelection-Framework-ML
Answer to how to select variables in data set and build simpler, faster, more reliable and interpretable ML models
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PURL: pkg:github/MvMukesh/FeatureSelection-Framework-ML
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Size: 322 KB
Dependencies parsed at: Pending
Created at: about 3 years ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago
Topics: backward-elimination, feature-evaluator, feature-generation, feature-sebset-search-process, feature-weighting-methods, filter-methods, forward-backward-algo, forward-selection, hybrid-methods, machine-learning, random-exponential-sequential, recursive-feature-elimination, relevance-based-feature-ranking, search-organisation, wrapper-methods