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
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
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.
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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