Fast Best-Subset Selection Library
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Updated
May 30, 2024 - C++
Fast Best-Subset Selection Library
Reproducible materials for "A polynomial algorithm for best-subset selection problem"
Reproducible materials for "abess: A Fast Best-Subset Selection Library in Python and R"
A SciKit-Learn style feature selector using best subsets and stepwise regression.
Sports Analytics in Python
Sports Analytics in R (Step-wise Regression and Subset Selection Regression)
Analyzes diabetes data in African Americans to find factors predicting diagnosis using MLR to explore & clean data, build & compare regression models, and choose the best one based on accuracy and interpretability
Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.
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