amueller / odsc_east_2016Links
☆26Updated 9 years ago
Alternatives and similar repositories for odsc_east_2016
Users that are interested in odsc_east_2016 are comparing it to the libraries listed below
Sorting:
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
- Information Package☆44Updated 9 years ago
- repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015☆15Updated 9 years ago
- Python code for Hadley Whickham's article on Tidy Data.☆35Updated 8 years ago
- ☆78Updated 9 years ago
- Code for Pythonic visualization blog post☆40Updated 8 years ago
- Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 3 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 8 years ago
- Materials for the R Programming Workshop that I teach at The University of Chicago☆34Updated 9 years ago
- ☆69Updated 9 years ago
- Notes and code for the workshop "Rule-Based Models for Regression and Classification”☆12Updated 9 years ago
- Notes on generalized linear models☆109Updated 6 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- ☆85Updated 7 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 8 years ago
- R package to compute and visualize summary trees☆36Updated 9 years ago
- ☆54Updated 11 years ago
- Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.☆111Updated 8 years ago
- Materials accompanying the presentation "Introduction to ggplot2"☆28Updated 8 years ago
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆34Updated 7 years ago
- Biostatistics 301: Introduction to Statistical Computing☆81Updated 6 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- A compendium of the pitfalls and problems that arise when using standard statistical methods☆246Updated 11 years ago
- Course materials for Data Mining at the University of Washington's Professional and Continuing Education.☆38Updated 8 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 8 years ago
- UW Software Engineering for Data Science Website☆20Updated 7 months ago
- Python solver for mixed-effects models☆97Updated last month