jsharpna / DavisSMLLinks
☆79Updated last year
Alternatives and similar repositories for DavisSML
Users that are interested in DavisSML are comparing it to the libraries listed below
Sorting:
- Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning…☆189Updated last year
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆131Updated 6 years ago
- Machine learning course materials.☆578Updated 2 years ago
- Slides and R codes for Functional Data Analysis Course☆98Updated 6 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆204Updated 4 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆82Updated 6 years ago
- Academic job market template☆30Updated 6 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆89Updated 2 years ago
- Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes☆111Updated last year
- ☆287Updated 3 years ago
- Python tools for regression discontinuity designs☆69Updated 6 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- ☆236Updated 2 years ago
- STA 141B Notes☆27Updated 6 years ago
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆79Updated 2 months ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆91Updated 6 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,337Updated 4 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆176Updated 3 years ago
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.☆20Updated 9 years ago
- Bayesian Learning course at Stockholm University☆157Updated last month
- Materials for the August 2019 R bootcamp at UC Berkeley. See below (under the listing of files) for information about the bootcamp, inclu…☆22Updated 5 years ago
- A repo of short "vignettes" illustrating statistical concepts☆319Updated last year
- ☆22Updated 6 years ago
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- Regression and other stories R examples☆350Updated 8 months ago
- ☆110Updated 4 years ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆268Updated 8 years ago
- Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.☆32Updated 3 weeks ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆296Updated 7 years ago
- Repo for ML for Public Policy Lab course at CMU☆119Updated last month