keberwein / Data_Science_WorkbenchLinks
A data science enviornment for Ubuntu 14.04 server and desktop
☆14Updated 5 years ago
Alternatives and similar repositories for Data_Science_Workbench
Users that are interested in Data_Science_Workbench are comparing it to the libraries listed below
Sorting:
- ☆20Updated 9 years ago
- Using RStudio with Binder with a custom Dockerfile☆43Updated 7 years ago
- Gotta Read Em All: RStudio Add-In to interactively read ALL the data into R☆48Updated 6 years ago
- ☆21Updated 2 weeks ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- R package to compute and visualize summary trees☆36Updated 9 years ago
- hackaton shiny app☆59Updated 7 years ago
- ☆40Updated 8 years ago
- Divide and Recombine☆68Updated 8 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- String and byte representations for all kinds of R objects☆54Updated 3 months ago
- R Interface for GraphFrames☆37Updated 4 years ago
- 🔵 R interpreter for executable documents☆15Updated 4 years ago
- A Shiny app to visualise BigQuery data in R. Open sourced so you can deploy on your own Shiny server.☆49Updated 9 years ago
- Regular Expression Counts of Terms and Substrings☆25Updated 3 years ago
- Why does mclapply take so much memory?☆19Updated 10 years ago
- Structure mining for xgboost model☆26Updated 4 years ago
- Concise interactive data summaries in R☆59Updated 5 years ago
- This is a simple Web Analytics Dashboard created with R and Shiny package. Visualizations are interactive and make use of Google Charts.☆46Updated 10 years ago
- Create interactive quizzes using Shiny and Rmarkdown☆16Updated last year
- Solutions for Data Science in the tidyverse☆17Updated 7 years ago
- R and RStudio via conda packages in repo2docker☆31Updated last year
- Create timeline plots using a grammar of graphics.☆54Updated 10 years ago
- OCR an image and get a word cloud☆13Updated 5 years ago
- Introductory tutorial creating a narrative to the RStudio's tutorial and other documentation for newbies to R's wonderful package shiny.☆25Updated 10 years ago
- Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as…☆28Updated 4 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- Dashboard implementation for Shiny☆45Updated 5 years ago
- Paper app☆19Updated 6 years ago
- Rapid Calculation of Model Metrics☆30Updated 4 years ago