Проект по методам оптимизации, 3 курс, ФУПМ МФТИ
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Updated
May 28, 2020 - Jupyter Notebook
Проект по методам оптимизации, 3 курс, ФУПМ МФТИ
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
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..
Machine learning library for classification tasks
QReadSelector is a subset selection of high-depth next generation sequencing reads for de novo genome assembly using MapReduce framework.
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
A summative coursework for MAS8404 Statistical Learning for Data Science
blg454e project
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"
Neighbourhood Functions for Local-Search Algorithms
R package of the Approximate Best Subset Maximum Binary Prediction Rule (PRESCIENCE) proposed by Chen and Lee (2018).
A Python package for flexible subset selection for data visualization.
Group fairness auditing methods for set selections. Corresponding to paper "FINS Auditing Framework: Group Fairness for Subset Selections" AAAI/ACM AIES 2022
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