dsnair / ISLR
Labs from An Introduction to Statistical Learning
☆10Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for ISLR
- R package for tracking Covid19 cases in San Francisco☆12Updated last year
- Repository for Rladies Amsterdam event- Intro to Bayesian Statistics☆11Updated 3 years ago
- Building example collaborative filtering recommender systems with RecommenderLab package in R. Example code is borrowed and modified from…☆12Updated 7 years ago
- ☆13Updated 2 months ago
- Sample size for external validation of a logistic regression based prediction model☆12Updated 3 years ago
- https://mdogucu.github.io/teach-tidyverse☆10Updated 2 years ago
- A bookdown-based collection of supplementary material from the clinical prediction models book.☆13Updated last year
- Techniques to Build Better Balance in Propensity Score Models☆15Updated last year
- R-Ladies Los Angeles meetup presentations☆11Updated 6 years ago
- ovtPlots: An R Package for Variable Level Monitoring☆13Updated 8 months ago
- R code to encode categorical features for machine learning☆15Updated 2 years ago
- Worksheets to accompany Data Science: A First Introduction☆26Updated last year
- Code and resources to serve as a starting point for data science projects.☆20Updated 3 years ago
- Development and validation OHDSI network studies for the covid19 prediction topic☆9Updated last year
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 3 years ago
- Statistics/D-Lab R bootcamp at UC Berkeley, August 2017☆19Updated 7 years ago
- Repo for the course Statistical Methods in Infectious Disease Epidemiology at UZH☆17Updated 2 years ago
- Accompanying data for my book Advanced Statistics with Application in R☆23Updated 5 years ago
- Visualise the Results of Inferential Statistics using 'ggplot2'☆12Updated last year
- Developing Interactive Visualization Tools for Model-Supported R&D☆11Updated 5 years ago
- Foundations and Applications of Statistics: An Introduction Using R☆13Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆29Updated 2 weeks ago
- This is the companion slides, data, and RStudio project for a workshop on mixed models.☆14Updated 4 years ago
- Monthly air passengers and landings at San Francisco International Airport (SFO)☆12Updated last year
- ☆10Updated 4 years ago
- 🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)☆46Updated 5 years ago
- Package for probabilistic forecast reconciliation via score optimisation☆11Updated last year
- Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders☆13Updated 3 years ago
- Short course on parametric survival analysis☆15Updated last year
- Material for the useR2020 tutorial☆14Updated 4 years ago