jeffwong / imputationLinks
R package for data imputation. Fills missing values in a numeric matrix
☆38Updated 11 years ago
Alternatives and similar repositories for imputation
Users that are interested in imputation are comparing it to the libraries listed below
Sorting:
- R Interface for LightGBM☆47Updated 7 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- R interface to the Vowpal Wabbit☆23Updated 9 months ago
- Practical examples for the R caret machine learning package☆69Updated 8 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- Scalable R for Machine Learning☆43Updated 6 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last year
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 4 months ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Implement feature hashing with R☆97Updated last year
- Metrics for scoring machine learning models in R☆22Updated 8 years ago
- A system for blending regression models in R☆76Updated 12 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 weeks ago
- Dimensionality reduction for binary data☆51Updated 4 years ago
- An R package for better visualizing a statistical learning model☆35Updated 3 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 8 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- Sparklyr Extensions API☆32Updated 8 years ago
- libFM R package☆26Updated 9 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆48Updated 5 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Recurrent Neural Networks in R☆77Updated 2 years ago
- Machine learning pipelines for R.☆67Updated 8 years ago