Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by dlab-berkeley
A curated list of projects in awesome lists by dlab-berkeley .
https://github.com/dlab-berkeley/Machine-Learning-in-R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
cluster decision-trees dlab-berkeley lasso machine-learning pca random-forest superlearner tutorial xgboost
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/Python-Fundamentals-Legacy
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.
data-science introduction-to-python jupyter python
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/R-Fundamentals-Legacy
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.
automation data-science data-visualization data-wrangling r
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/R-Deep-Learning
Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
biomedical cloudml deep-learning keras nlp tensorflow
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/python-for-everything
Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab
Last synced: 10 Aug 2024
https://github.com/dlab-berkeley/MachineLearningWG
D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
machine-learning statistical-learning ucberkeley
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/R-Geospatial-Fundamentals-Legacy
This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.
geographical-information-system geospatial mapping r spatial
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/Python-Data-Wrangling-Legacy
D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/Unsupervised-Learning-in-R
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
clustering dimensionality-reduction glrm hdbscan isolation-forests latent-class-analysis umap unsupervised-learning
Last synced: 02 Aug 2024
https://github.com/dlab-berkeley/R-package-development
R package development workshop
open-source-project package r reproducible-research
Last synced: 02 Aug 2024