☆15Jun 28, 2017Updated 8 years ago
Alternatives and similar repositories for r-bootcamp-2016
Users that are interested in r-bootcamp-2016 are comparing it to the libraries listed below
Sorting:
- Artificial Neural Network basics☆14Dec 2, 2016Updated 9 years ago
- L&S 88-5 Connector Course to Data 8☆15Apr 12, 2018Updated 7 years ago
- Statistics/D-Lab R bootcamp at UC Berkeley, August 2017☆19Aug 21, 2017Updated 8 years ago
- D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot and R.☆14Nov 18, 2025Updated 3 months ago
- SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.☆37Apr 17, 2019Updated 6 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Dec 21, 2025Updated 2 months ago
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Feb 25, 2026Updated last week
- ☆10Nov 30, 2022Updated 3 years ago
- ☆10Aug 30, 2017Updated 8 years ago
- D-Lab R-intensive teaching materials☆22Mar 8, 2017Updated 8 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 4 months ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 3 years ago
- Materials for "Introduction to Text Analysis" (IPM 2018)☆16Sep 25, 2020Updated 5 years ago
- D-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.☆15Oct 4, 2023Updated 2 years ago
- R port of bertopic☆13Updated this week
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆14Aug 6, 2022Updated 3 years ago
- Text Analysis Workshops for UC Berkeley's D-Lab☆27Sep 16, 2017Updated 8 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆15Dec 9, 2024Updated last year
- Materials for Random Forests training☆10Dec 7, 2018Updated 7 years ago
- Quick Generalized Full Matching in R☆11Nov 29, 2023Updated 2 years ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Jun 26, 2025Updated 8 months ago
- repo for "Optimal Inference After Model Selection"☆15Apr 15, 2017Updated 8 years ago
- ☆13Jan 11, 2019Updated 7 years ago
- Computational Text Analysis Workshop Materials☆36May 6, 2016Updated 9 years ago
- Kernel k Nearest Neighbors in R☆17Feb 20, 2026Updated last week
- Tools for Flexible Survival Analysis Using Machine Learning☆18Dec 8, 2025Updated 2 months ago
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆66Mar 10, 2019Updated 6 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Jan 4, 2023Updated 3 years ago
- Tutorial on writing efficient R code, including timing and profiling your code, as well as fast linear algebra☆18Sep 28, 2022Updated 3 years ago
- 😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers☆18Nov 28, 2024Updated last year
- D-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word emb…☆45Sep 27, 2021Updated 4 years ago
- python resources of berkeley curated at a place☆48May 30, 2024Updated last year
- D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using t…☆45Mar 1, 2023Updated 3 years ago
- Text as Data Course Taught at Yale University, November 15 2019☆15Nov 15, 2019Updated 6 years ago
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Jun 8, 2020Updated 5 years ago
- Materials for the August 2019 R bootcamp at UC Berkeley. See below (under the listing of files) for information about the bootcamp, inclu…☆22Aug 13, 2020Updated 5 years ago
- Course Materials for Introduction to Machine Learning, Rex W. Douglass 2018☆19Jul 20, 2018Updated 7 years ago
- ☆22Jun 12, 2024Updated last year
- Targeted Maximum Likelihood Estimation for Network Data☆20Aug 29, 2017Updated 8 years ago