lab-berkeley/R-graphics): Base and ggplot2 visualizations.  
* [Introduction to Deep Learning](https://github.com/dlab-berkeley/Deep-Learning-in-R): Keras basics for artificial neural networks.  
* [Machine Learning Working Group](https://github.com/dlab-berkeley/MachineLearningWG): R and Python code for a variety of machine learning algorithms.  

---

# Resources
_An Introduction to Statistical Learning - with Applications in R (2013)_ by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. Spr