GoranMilovanovic / Introduction-to-R-for-Data-ScienceLinks
Introduction to R for Data Science, Data Science Serbia + Startit Center, Belgrade, Autumn 2016.
☆11Updated 7 years ago
Alternatives and similar repositories for Introduction-to-R-for-Data-Science
Users that are interested in Introduction-to-R-for-Data-Science are comparing it to the libraries listed below
Sorting:
- Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods…☆20Updated 8 years ago
- split data with functions, transform pieces into plot layers, combine in a variety of ways☆23Updated 13 years ago
- Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆20Updated 7 years ago
- Solutions for Data Science in the tidyverse☆17Updated 7 years ago
- Materials for the MOSAIC "Teaching Statistics with R and RStudio"☆23Updated 7 years ago
- ☆22Updated 5 years ago
- A high-level interface to keras for R that takes advantage of formulas☆50Updated 6 years ago
- ☆38Updated 9 years ago
- Slides and materials for the "R Markdown: Eight ways" talk at rstudio::conf 2018☆38Updated 7 years ago
- ☆76Updated 3 months ago
- Handling Strings in R☆37Updated 2 years ago
- Tutorial on Bayesian optimization in R☆15Updated 3 years ago
- using tensorflow with r☆25Updated 6 years ago
- Blog☆27Updated 3 weeks ago
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 9 years ago
- Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"☆30Updated 7 years ago
- Tidyverse Skills for Data Science in R☆28Updated 7 months ago
- An Interactive R Tool for Classification Problems☆15Updated 7 years ago
- A community curated list of awesome companies/organizations that contribute open source R software/packages☆42Updated 8 years ago
- A package to offer R solutions to Project Euler problems☆21Updated 6 years ago
- Plotting Lorenz curves with the blessing of ggplot2☆31Updated 5 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- One day course covering functions, functional programming and tidy evaluation☆43Updated 7 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- dplyr backend for Revolution Analytics xdf files☆39Updated 6 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 7 months ago
- ☆23Updated 6 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- Source code for 'Introduction to Deep Learning Using R' by Taweh Beysolow II☆25Updated 8 years ago