Alternatives and similar repositories for learning-data-mining-with-r

Users that are interested in learning-data-mining-with-r are comparing it to the libraries listed below

• davpinto / ml-simulations
  Animated Visualizations of Popular Machine Learning Algorithms
  ☆36Updated 8 years ago
• cosname / R-conference
  中国R会议官方网站 China R Conference Homepage
  ☆33Updated 4 months ago
• bearloga / MLPUGS
  An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
  ☆12Updated 5 years ago
• yanyachen / rFTRLProximal
  FTRL-Proximal Online Learning Algorithm
  ☆15Updated 8 years ago
• ramhiser / activelearning
  Active Learning in R
  ☆47Updated 8 years ago
• Laurae2 / lgbdl
  LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]
  ☆16Updated 6 years ago
• JeffreyRacine / R-Package-crs
  R package crs (Categorical Regression Splines)
  ☆17Updated 6 months ago
• koaning / kadro
  A friendly pandas wrapper with a more composable grammar support.
  ☆14Updated 8 years ago
• cdeterman / prometheus
  Deep Learning Library for R
  ☆12Updated 7 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year
• sureshgorakala / Text-Mining
  Classifying documents into categories
  ☆18Updated 7 years ago
• EasyD / IntroToEventLogMiningMeetup
  GitHub Repository for the 01/04/2016 Meetup titled "Introduction to Event Log Mining with R".
  ☆13Updated 8 years ago
• WinVector / kcomp
  Demonstration of parametric bootstrap to find k for kmeans
  ☆10Updated 5 years ago
• dselivanov / kaggle-outbrain
  Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/…
  ☆21Updated 8 years ago
• zygmuntz / r-libsvm-format-read-write
  R code for reading and writing files in libsvm format
  ☆14Updated 10 years ago
• igraph / igraphdata
  Data sets for the igraph R package
  ☆56Updated last month
• bobflagg / Topic-Networks
  A demo of new approach to automatic text summarization using topic models and bipartite graphs.
  ☆15Updated 12 years ago
• luca590 / High-Dimensional-Statistics
  PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
  ☆10Updated 3 years ago
• oizin / applied-predictive-modeling
  Exercises and R code related to the book Applied Predictive Modeling by Max Kuhn and Kjell Johnson
  ☆12Updated 9 years ago
• szilard / teach-data-science-msc-analytics-ceu
  Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…
  ☆33Updated 7 years ago
• bmabey / hacker_news_topic_modelling
  Topic models (just LDA for now) on the Hacker News corpus
  ☆22Updated 10 years ago
• trinker / stansent
  ☆16Updated 3 years ago
• szilard / awesome-GBMs
  A curated list of gradient boosting machines (GBM) resources
  ☆10Updated 6 years ago
• AndreaCirilloAC / Afraus
  unsupervised multi-model fraud-detection algorithm √
  ☆11Updated 9 years ago
• ahalterman / gdeltr
  R tools for GDELT and the Global Knowledge Graph
  ☆14Updated 11 years ago
• webeng / feature_engineering
  (Under Development) Extract features from text and links. Useful for machine learning algorithms.
  ☆23Updated 2 years ago
• matloff / rectools
  ☆12Updated 3 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• topepo / ICHPS2015_Class_Imbalance
  Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"
  ☆9Updated 9 years ago