subset-selection
There are 35 repositories under subset-selection topic.
jaswinder9051998/zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
thieu1995/mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
SebastianAment/CompressedSensing.jl
Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.
sibirbil/LESS
Learning with Subset Stacking
StarlangSoftware/Classification-Py
Machine learning library for classification tasks
JacobSeedorff21/BranchGLM
Efficient Variable Selection for GLMs in R
StarlangSoftware/Classification
Machine learning library for classification tasks
julienraffaud/ProtoDash
PySpark Implementation of the ProtoDash subset selection algorithm.
StarlangSoftware/Classification-CPP
Machine learning library for classification tasks
eakgun/ISO_OLS_RBF
Generalized Improved Second Order RBF Neural Network with Center Selection using OLS
airdipu/Data-Mining-using-R
This project is on Data Mining process using R depending on ISLR book.
kwsthsve/Feature_Subset_Selection-and-Classification
Find the simplest model and the best method to predict whether an observation belongs to categories LOWER/GREATER of 20% trimmed mean of "ncrim" variable. AUEB Computer Science course Statistical Learning.
lamda-bbo/BPODC
Official implementation of PPSN'24 paper "Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints"
cykbennie/prescience-r
R package of the Approximate Best Subset Maximum Binary Prediction Rule (PRESCIENCE) proposed by Chen and Lee (2018).
devinaa1604/Subset_Selection
This aims to run a subset selection process on the data set using R
enricoschumann/neighbours
Neighbourhood Functions for Local-Search Algorithms
KCachel/fins
Group fairness auditing methods for set selections. Corresponding to paper "FINS Auditing Framework: Group Fairness for Subset Selections" AAAI/ACM AIES 2022
n1crack/subset-finder
A Laravel collection-powered PHP package, enables efficient extraction of subsets from collections, ideal for discount calculations and inventory management.
Sarthak-Mohapatra/Prediction-of-fare-and-changes-in-airfare-with-Southwest-Airline-entry-in-a-new-route.
In this project, I have used Machine Learning (Linear Regression) for Prediction of fare and changes in airfare when a low cost airlines like Southwest Airline enters a new route in the US Aviation Market.
sleepymalc/MISS
Official implementation of the paper "Most Influential Subset Selection: Challenges, Promises, and Beyond" (NeurIPS2024)
uwgraphics/flexibleSubsetSelection
A Python package for flexible subset selection for data visualization.
AndreaPrati98/EFSA_study
Data analysis on samples from a virtual simulation of toxicological study. Use of subset selection.
avxxx/Optimizing-Project-2020
Проект по методам оптимизации, 3 курс, ФУПМ МФТИ
CSCLabTW/QReadSelector
QReadSelector is a subset selection of high-depth next generation sequencing reads for de novo genome assembly using MapReduce framework.
JacobSeedorff21/fastbackward
Fast Backward Elimination in R
kaushikmanikonda/Design-and-Analysis-of-Industrial-Experiments_ISEN_616
Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance
kaushikmanikonda/Industrial-Data-Analytics-and-Machine-Learning_ISEN_613
Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)
oguzaliarslan/training-with-best-represantation
blg454e project
Srking501/mas8404_coursework
A summative coursework for MAS8404 Statistical Learning for Data Science
mocchicone/Subset-Selection-MLB-Data
Using 2016 MLB data, using Subset Selection approach to identify a subset of p predictors that are related to the salary variable..
StarlangSoftware/Classification-CS
Machine learning library for classification tasks
StarlangSoftware/Classification-Cy
Machine learning library for classification tasks
StarlangSoftware/Classification-Js
Machine Learning Library for Classification Tasks