mine-cetinkaya-rundel / sta104_su15Links
Course materials for Sta 104 - Summer 2015 semester at Duke University
☆22Updated 10 years ago
Alternatives and similar repositories for sta104_su15
Users that are interested in sta104_su15 are comparing it to the libraries listed below
Sorting:
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 3 years ago
- R package for exploratory data analysis☆120Updated 7 years ago
- ☆85Updated 8 years ago
- A companion book for the Coursera Regression Models class☆54Updated 6 years ago
- Teaching materials for handling large datasets in R☆76Updated 7 years ago
- ☆78Updated 10 years ago
- R package to create D3.js Visualisations☆67Updated 8 years ago
- Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2☆163Updated 11 years ago
- Piketty in R☆218Updated 9 years ago
- A simpler ggplot2 syntax, saving half of your typing.☆80Updated 7 years ago
- My older Jekyll blog, based on the So Simple theme☆24Updated 8 years ago
- A compendium of the pitfalls and problems that arise when using standard statistical methods☆247Updated 11 years ago
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 8 years ago
- A tutorial on R and Hadoop, using the RHadoop project☆41Updated 10 years ago
- More Than Words: Text and Context, Language Analytics in Finance (joint useR2016 tutorial presentation on text mining with Karthik Mokash…☆13Updated 7 years ago
- Notes on generalized linear models☆109Updated 7 years ago
- ☆40Updated 7 years ago
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆35Updated 8 years ago
- IQSS Data Science Services workshop materials☆78Updated 6 years ago
- information for tutorial☆11Updated 10 years ago
- Statistical computations for visualisation☆70Updated 9 years ago
- Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory☆91Updated 10 years ago
- Complete code for some of the blog posts found at kimberlycoffey.com☆32Updated 7 years ago
- An R Dataset Package for US Beer Statistics From TTB☆25Updated 3 months ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
- R client for the lightning-viz server API http://lightning-viz.org/☆31Updated 9 years ago
- ARCHIVED Accesses the Monkeylearn API for Text Classifiers and Extractors☆92Updated 3 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 9 years ago
- All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.☆63Updated 5 years ago