tdhock / interactive-tutorialLinks
useR 2016 tutorial on "Understanding and creating interactive graphics"
☆13Updated 11 months ago
Alternatives and similar repositories for interactive-tutorial
Users that are interested in interactive-tutorial are comparing it to the libraries listed below
Sorting:
- Course material for BIO 260 and CSCI E-107 in Spring 2016☆62Updated 8 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 8 months ago
- Practical examples for the R caret machine learning package☆69Updated 8 years ago
- Machine learning pipelines for R.☆67Updated 8 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- ☆18Updated 8 years ago
- A system for blending regression models in R☆76Updated 12 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- Read, write and format Excel files using R☆15Updated 2 months ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- Pre-packaged plots in R☆85Updated 3 months ago
- A simpler ggplot2 syntax, saving half of your typing.☆80Updated 7 years ago
- Exploring earthquake data using shiny dashboard☆16Updated last year
- R package of generic neural network tools☆72Updated 3 years ago
- R tools for combining data sets.☆55Updated 5 years ago
- D3 scatterplot matrices☆55Updated 3 years ago
- ☆40Updated 8 years ago
- Divide and Recombine☆68Updated 8 years ago
- This is a curated list of libraries and frameworks for Neural network and deep learning in R☆21Updated 5 years ago
- Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 3 years ago
- Interactively generate function calls for the tidyr package☆68Updated 9 years ago
- An R package for t-SNE (t-Distributed Stochastic Neighbor Embedding)☆58Updated 6 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- R package for data imputation. Fills missing values in a numeric matrix☆38Updated 12 years ago
- Using R with many CPUs☆49Updated 10 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆24Updated 3 years ago
- ☆38Updated 9 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- Slides/code/data from rstudio:: conf 2017☆51Updated 8 years ago
- Learning Discrete Bayesian Network Classifiers from Data☆20Updated last year