Collection of various algorithms implemented in R.
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Updated
Mar 12, 2024 - R
Collection of various algorithms implemented in R.
Time series analysis in the `tidyverse`
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
TSrepr: R package for time series representations
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.
Text analysis of a discord chat group
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
An R package for implementing augmented network log anomaly detection procedures
Repository for R package MetQy (read related publication here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247936/)
An R Package for Managing Species Records from Biological Collections
latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms
Course Material: Business Analytics and Decision Support with R
This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data
Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R
Extract, plot, and analyse Runkeeper(TM) data.
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