There are 0 repository under subset-selection topic.
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.
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.
Machine learning library for classification tasks
PySpark Implementation of the ProtoDash subset selection algorithm.
Machine learning library for classification tasks
Machine learning library for classification tasks
This project is on Data Mining process using R depending on ISLR book.
Generalized Improved Second Order RBF Neural Network with Center Selection using OLS
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.
R package of the Approximate Best Subset Maximum Binary Prediction Rule (PRESCIENCE) proposed by Chen and Lee (2018).
This aims to run a subset selection process on the data set using R
Neighbourhood Functions for Local-Search Algorithms
A Laravel collection-powered PHP package, enables efficient extraction of subsets from collections, ideal for discount calculations and inventory management.
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.
Data analysis on samples from a virtual simulation of toxicological study. Use of subset selection.
Проект по методам оптимизации, 3 курс, ФУПМ МФТИ
QReadSelector is a subset selection of high-depth next generation sequencing reads for de novo genome assembly using MapReduce framework.
Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance
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)
A summative coursework for MAS8404 Statistical Learning for Data Science
Using 2016 MLB data, using Subset Selection approach to identify a subset of p predictors that are related to the salary variable..
blg454e project
Machine learning library for classification tasks
Machine learning library for classification tasks
Machine Learning Library for Classification Tasks