JustinMShea / StatisticalLearningLinks
Course offered online through Stanford closely following the text "An Introduction to Statistical Learning, with Applications in R" (James, Witten, Hastie, Tibshirani - Springer 2013).
☆6Updated 6 years ago
Alternatives and similar repositories for StatisticalLearning
Users that are interested in StatisticalLearning are comparing it to the libraries listed below
Sorting:
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 8 years ago
- Introductory Workshop to (Bayesian) Statistics☆38Updated 8 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 8 years ago
- Image Classification using MXNetR☆55Updated 8 years ago
- Module 7: Introduction to D3.js☆21Updated 9 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Methods workshop: Automated Text Analysis with R☆34Updated 9 years ago
- experiments with the R package TSclust☆11Updated 10 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 2 months ago
- We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…☆16Updated 7 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 8 years ago
- A system for blending regression models in R☆75Updated 12 years ago
- R Package - calculate Information Value and WoE (Weight of Evidence)☆30Updated 6 years ago
- libFM R package☆26Updated 8 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- Optimal pruning for imbalance minimization in causal inference☆18Updated 4 years ago
- Generative Adversial Network Example☆15Updated 6 years ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆52Updated 12 years ago
- Interactive visualization of non-linear logistic regression decision boundaries☆28Updated 10 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- R package for split test/one-armed bandit analysis☆16Updated 11 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 8 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 9 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 7 years ago
- Deep learning examples☆13Updated 8 years ago
- A simpler ggplot2 syntax, saving half of your typing.☆80Updated 6 years ago