Alternatives and similar repositories for woe:

Users that are interested in woe are comparing it to the libraries listed below

• klarsen1 / Information
  Information Package
  ☆44Updated 8 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• okugami79 / sentiment140
  R package for sentiment text analysis
  ☆21Updated 9 years ago
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago
• Pooja-Rajkumar / rectools
  Advanced package for recommender systems
  ☆19Updated 7 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• Yuchun-Zhang / R_largeList
  Store, append, read large lists in R without loading whole data into memory.
  ☆14Updated 7 years ago
• wush978 / FeatureHashing
  Implement feature hashing with R
  ☆97Updated last year
• trestletech / user2016-sparklyr
  ☆20Updated 8 years ago
• yixuan / rARPACK
  Solvers for Large Scale Eigenvalue and SVD Problems
  ☆45Updated 8 years ago
• brandenkmurray / kaggle
  Code used in Kaggle competitions
  ☆23Updated 7 years ago
• lantanacamara / lightgbmExplainer
  An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…
  ☆23Updated 5 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆60Updated 2 years ago
• philipus / Simple-FTRL-in-R
  Simple ftrl implementation in R for the AVAZU CTR Competition in R
  ☆13Updated 10 years ago
• thirdwing / mxnet_shiny
  Image Classification using MXNetR
  ☆55Updated 8 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆79Updated 6 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 9 years ago
• dselivanov / FTRL
  R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm
  ☆49Updated 6 years ago
• andrie / RHadoop-tutorial
  A tutorial on R and Hadoop, using the RHadoop project
  ☆41Updated 9 years ago
• lijian13 / Rofficetool
  office tool for R
  ☆10Updated 9 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆22Updated 8 years ago
• jakob-r / mlrHyperopt
  Easy Hyper Parameter Optimization with mlr and mlrMBO.
  ☆30Updated 3 years ago
• WinVector / BigDataRStrata2017
  All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
  ☆63Updated 4 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 7 years ago
• PAPL-SKKU / ggplot2.SparkR
  ☆18Updated 8 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• qxde01 / myRproj
  一些关于R使用的练习和想法
  ☆45Updated 6 years ago
• timelyportfolio / TSclust_experiments
  experiments with the R package TSclust
  ☆11Updated 9 years ago
• Myfanwy / ggplot2Intro
  Materials accompanying the presentation "Introduction to ggplot2"
  ☆28Updated 7 years ago