dlab-berkeley / R-Machine-Learning-LegacyLinks
D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
☆45Updated 2 years ago
Alternatives and similar repositories for R-Machine-Learning-Legacy
Users that are interested in R-Machine-Learning-Legacy are comparing it to the libraries listed below
Sorting:
- ☆40Updated 4 years ago
- Introduction to ML with R using tidymodels☆49Updated 3 years ago
- tidymodels code for Applied Predictive Modeling☆38Updated 4 years ago
- The R Markdown and Interactive Dashboards Workshp at rstudio::conf 2020☆65Updated 6 years ago
- Repository for sharing tidy Tuesday files☆49Updated 2 years ago
- 📊 A Gentle Guide to the Grammar of Graphics with ggplot2☆85Updated 4 years ago
- A quick tutorial on making slides using xaringan☆35Updated 6 years ago
- Practical ggplot2☆74Updated 5 years ago
- ☆73Updated 3 years ago
- SQL for R Users, Workshop☆21Updated 5 years ago
- Workshop on advanced data visualization in ggplot2, taught at the Florida State University Summer Methods School (May 2019).☆23Updated 6 years ago
- An Antarctic Tour of the Tidyverse: a tutorial created for R-Ladies Chicago☆29Updated 5 years ago
- Code from #TidyTuesday Projects☆24Updated 4 years ago
- The joy and power of functional programming in R☆28Updated 3 years ago
- Principles & Practice of Data Visualization, CS631 Spring 2018☆38Updated 6 years ago
- Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis…☆124Updated last year
- ☆34Updated 3 years ago
- 📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto☆65Updated 3 years ago
- ☆57Updated 5 years ago
- ☆33Updated 4 years ago
- Network Visualization Workshop☆24Updated 3 years ago
- This is the companion slides, data, and RStudio project for a workshop on mixed models.☆14Updated 5 years ago
- Intuitive NA-handling in R☆59Updated 2 years ago
- An R package for extracting results from mixed models that are easy to use and viable for presentation.☆70Updated 3 years ago
- Instructors' Guide to accompany "R for Data Science"☆52Updated 7 years ago
- ☆44Updated 4 years ago
- a Shiny app to create/visualize/analyze causal diagrams (DAGs)☆66Updated 6 years ago
- An interactive table interface for data summaries☆86Updated 2 years ago
- An R package for getting academic projects/papers started.☆29Updated 2 years ago
- A short and to-the-point summary of a reproducible data science workflow☆58Updated 6 years ago