berkeley-scf / tutorial-unix-basicsLinks
Tutorial on the basics of UNIX and the command line
☆20Updated 11 months ago
Alternatives and similar repositories for tutorial-unix-basics
Users that are interested in tutorial-unix-basics are comparing it to the libraries listed below
Sorting:
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- Sparse and Regularized Discriminant Analysis in R☆14Updated 4 years ago
- D-Lab training☆13Updated 10 years ago
- Tutorial on writing efficient R code, including timing and profiling your code, as well as fast linear algebra☆16Updated 3 years ago
- Examples used for useR! 2016 knitr tutorial☆15Updated 9 years ago
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Updated last year
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago
- An R package extends R to process tera-scale datasets in parallel and out of core automatically.☆16Updated 8 years ago
- Data Visualization Workshop Materials☆20Updated 6 years ago
- Gaussian processes in TensorFlow via R☆16Updated 8 years ago
- Explanations for survival models☆15Updated 3 years ago
- Quick Generalized Full Matching in R☆11Updated last year
- ☆24Updated 5 years ago
- Code and slides from a 2016 talk at the Cambridge UK RUG☆16Updated 8 years ago
- ☆20Updated 8 years ago
- CRAN Task View: Model Deployment with R☆20Updated 3 years ago
- [Work In Progress] A cookbook of purrr recipes☆30Updated 7 years ago
- R package for distance- and density-based outlier detection☆12Updated 6 years ago
- Computing and reproducibility bootcamp for Duke StatSci graduate students.☆11Updated 9 years ago
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Updated 2 weeks ago
- Solutions for Data Science in the tidyverse☆17Updated 7 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Why does mclapply take so much memory?☆19Updated 9 years ago
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆22Updated 6 years ago
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 9 years ago
- generalized linear mixed models with AD Model Builder☆11Updated 6 years ago
- Bryan talk at JSM 2015 re: are statisticians data scientists☆18Updated 9 years ago
- XR-style Interface to Python (from "Extending R")☆17Updated last year
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- Materials for the Designing the Data Science Classroom workshop at rstudio::conf 2020☆30Updated 5 years ago