D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
☆66Mar 10, 2019Updated 7 years ago
Alternatives and similar repositories for MachineLearningWG
Users that are interested in MachineLearningWG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Text Analysis Workshops for UC Berkeley's D-Lab☆27Sep 16, 2017Updated 8 years ago
- Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles☆196Mar 25, 2021Updated 5 years ago
- Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis…☆124Jun 2, 2026Updated 2 months ago
- Introduction to Programming for UC Berkeley's D-Lab☆24Aug 12, 2018Updated 7 years ago
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆138Feb 6, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- D-Lab R-intensive teaching materials☆22Mar 8, 2017Updated 9 years ago
- API and web scraping workshops☆35Jan 3, 2021Updated 5 years ago
- ☆23Sep 29, 2021Updated 4 years ago
- L&S 88-5 Connector Course to Data 8☆15Apr 12, 2018Updated 8 years ago
- ☆10Mar 8, 2017Updated 9 years ago
- 😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers☆18Nov 28, 2024Updated last year
- D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.☆52Oct 12, 2022Updated 3 years ago
- D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model sele…☆91Oct 15, 2025Updated 9 months ago
- ☆24Apr 26, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Jun 8, 2020Updated 6 years ago
- Statistics/D-Lab R bootcamp at UC Berkeley, August 2017☆19Aug 21, 2017Updated 8 years ago
- ☆20Feb 9, 2021Updated 5 years ago
- ☆15Jun 28, 2017Updated 9 years ago
- This repository holds all course materials for the fall 2017 offering of Statistics 243 at UC Berkeley.☆12Dec 22, 2017Updated 8 years ago
- D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.☆38Mar 13, 2023Updated 3 years ago
- D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.☆139Apr 9, 2024Updated 2 years ago
- D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compo…☆57Nov 10, 2022Updated 3 years ago
- Computational Text Analysis Workshop Materials☆36May 6, 2016Updated 10 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound f…☆28Nov 9, 2023Updated 2 years ago
- Materials for the 2018 R bootcamp at UC Berkeley. See below (under the listing of files) for information about the bootcamp, including lo…☆24Apr 3, 2019Updated 7 years ago
- Software for the analysis and visualization of site-saturation mutagenesis experiments☆19Apr 21, 2023Updated 3 years ago
- A quick guide to deploying your own Data 8 course☆33Jul 31, 2025Updated last year
- UC Berkeley PSYCH 167AC (Stigma and Prejudice) Fall 2017☆10Jul 1, 2025Updated last year
- Artificial Neural Network basics☆14Dec 2, 2016Updated 9 years ago
- Supplementary material for the paper "Improved batch correction in untargeted MS-based metabolomics" by R. Wehrens, et al. Metabolomics, …☆15Nov 13, 2018Updated 7 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆58Nov 5, 2025Updated 9 months ago
- Self Driving Car Decal taught by Machine Learning @ Berkeley, fall 2019 at UC Berkeley.☆10Dec 25, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code to reproduce the models and analysis in the paper "Leveraging the Alignment between Machine Learning and Intersectionality: Using W…☆17Mar 19, 2021Updated 5 years ago
- The Hacker Within at the University of California - Berkeley☆101May 1, 2023Updated 3 years ago
- Computational Assyriology☆20Jun 19, 2026Updated last month
- Code, data and slides for the UTokyo "text as data" course (June 3-4, 2017)☆11Jun 5, 2017Updated 9 years ago
- Discussion for Stan for economists☆10Mar 29, 2016Updated 10 years ago
- D-Lab workshop on "Data Wrangling and Manipulation in R"☆12Aug 22, 2016Updated 9 years ago
- Topic Evolution Analysis - an algorithm for analyzing knowledge flow in text based corpora☆14Oct 16, 2016Updated 9 years ago