This aims to run a subset selection process on the data set using R

Official implementation of PPSN'24 paper "Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints"

Проект по методам оптимизации, 3 курс, ФУПМ МФТИ

Neighbourhood Functions for Local-Search Algorithms

A Python package for flexible subset selection for data visualization.

Machine learning library for classification tasks

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)

Fast Backward Elimination in R

Group fairness auditing methods for set selections. Corresponding to paper "FINS Auditing Framework: Group Fairness for Subset Selections" AAAI/ACM AIES 2022

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.

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.

Machine Learning Library for Classification Tasks

Using 2016 MLB data, using Subset Selection approach to identify a subset of p predictors that are related to the salary variable..

Generalized Improved Second Order RBF Neural Network with Center Selection using OLS

QReadSelector is a subset selection of high-depth next generation sequencing reads for de novo genome assembly using MapReduce framework.

A Laravel collection-powered PHP package, enables efficient extraction of subsets from collections, ideal for discount calculations and inventory management.

Data analysis on samples from a virtual simulation of toxicological study. Use of subset selection.

Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance