D-Lab

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

dlab-berkeley

D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

dlab-berkeley

D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.

dlab-berkeley

D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.

dlab-berkeley

Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization

dlab-berkeley

D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python

dlab-berkeley

A starting point for discovering the wonderful world of Git, GitHub, and Git Annex (Assistant)

dlab-berkeley

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

dlab-berkeley

Advanced-data-wrangling-in-R, Workshop

dlab-berkeley

dlab-berkeley