Machine Learning in R

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

Everything is Linkable

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (L…

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support

OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.

Research project

Filter-based feature selection for mlr3

Feature selection package of the mlr3 ecosystem.

Migrated to GitLab

Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics

CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space

Deep Treatment Learning (R)

feseR: Combining feature selection methods for analyzing omics data

NPDR: Nearest-neighbor Projected-Distance Regression with the generalized linear model

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection

An R package for feature selection in topological spaces.