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topepo/caret

Machine Learning

Stars
1,561
Rank 29,977 (Top 0.6 %)
Language
R
Created over 10 years ago
Updated over 1 year ago

topepo/caret

topepo

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caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

Classification and Regression Training

Miscellaneous functions for training and plotting classification and regression models. Detailed documentation is at http://topepo.github.io/caret/index.html

Install the current release from CRAN:

install.packages('caret')

Install the development version from GitHub:

pak::pak('topepo/caret/pkg/caret')

FES

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

APM_Exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

rstudio-conf-2019

Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019

rstudio-conf-2018

Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018

aml-london-2019

Course materials for Applied Machine Learning course in 2019 in London

C5.0

An R package for fitting Quinlan's C5.0 classification model

tidy-apm

tidymodels code for the book Applied Predictive Modeling

Cubist

An R package for fitting Quinlan's Cubist regression model

useR2016

Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"

tidyAPM

tidymodels code for Applied Predictive Modeling

shinylive-in-book-test

testing shiny in quarto docs

user2018

Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"

AppliedPredictiveModeling

Data and code from Applied Predictive Modeling (2013)

DC-ML-2018

Materials for the Applied Machine Learning Workshop in Washington DC

XIjuR-2019

Presentations for Madrid R conference

sdss-2019

Slides and code for the "Modeling in the Tidyverse" short course on Wednesday, May 29 2019 at SDSS (Symposium on Data Science and Statistics).

nyr-2020

Materials for the 2020 NYR Machine Learning workshop

cars

Another fuel economy data set but updated

FES_Selection_Simulation

Feature Selection Simulation Files

R-Ladies-London

Code and Slides for "Whose Scat Is That? An 'Easily Digestible' Introduction to Predictive Modeling in R and the caret Package"

odsc-2019

Notes and code for "Modeling in the tidyverse" 90m workshop at ODSC East

Optimization-Methods-for-Tuning-Predictive-Models

Code and slides from a 2016 talk at the Cambridge UK RUG

NY-ML-2018

Materials for the Applied Machine Learning Workshop in New York

AmesHousing

Ames IA Housing data from De Cock (2011)

odsc_rules

Notes and code for the workshop "Rule-Based Models for Regression and Classification”

an-introduction-to-tidymodels

Overview of our packages

important

Tools for Supervised Feature Selection

par-caret-bench

parallel processing benchmarks for caret

2021-NYR

2022-nyr-workshop

Code and notes for the tidymodels workshop

DC-ML-2019

Materials for the Applied Machine Learning Workshop in Washington DC

2020-r-pharma

Slides and sources for 2020 R/Pharma talk

nyr-2019

Workshop notes for NYR conference workshop

2021-Cleveland-RUG

ICHPS2015_Class_Imbalance

Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"

RPharma-2019-Workshop

Course notes and code for the workshop

APM_Figures

Figures for the book Applied Predictive Modeling

dummies-vs-factors

Simulation studies to compare tree- and rule-based models for different encodings

2021-nyr-workshop

Machine Learning 1 day workshop

sparselda

R package to perform sparse linear discriminant analysis for gaussians and mixture of gaussians models.

conformal_sim

simulations to measure interval coverage

2020-earl-workshop

Notes and code for "A Quick Introduction to tidymodels"

nyr-2020-talk

2021_11_HDSI_RUG

Slides and code for "Cooking Your Data with Recipes"

characterize

Inspect structural characteristics of a fitted model, such as the number of active features, the number of terminal notes, and so on.

R-Pharma-2019

conference slides for R/Pharma 2019 talk

posit-2023-conformal

Slides and code for "Conformal Inference with Tidymodels"

2023_Shell_bootcamp

2021-LA-RUG

An introduction to workflow sets

2024_05_NYR

SHINYLIVE IS SO EASY talk

2023-latinR

Slides for the 2023 LatinR Keynote

2024_FDA_Mod_and_Sim

Slides for talk to the FDA Modeling and Simulation Working Group

2023-07-NYR

Talk: The Post-Modeling Model to Fix the Model

2024_SSA_SCV

tidymodels tutorial for the Statistical Society of Australia (SSA) statistical computing and visualisation tutorials

deploycaret

Version, Pin, and Deploy 'caret' Models with 'pins' and 'plumber'

2020-CT-ASA

Slide for ASA miniconference talk "What Inferential Statistics Can Utilize from Predictive Models"

ncb-2019-shiny

materials for shiny workshop at the 2019 Nonclinical Biostatistics Conference

2021_NY_RUG

What's New and Upcoming in tidymodels

ongoal

Data for several Pittsburgh Penguins seasons on whether a shots was on goal or not.

sommelier

LLM helper for tidymodels

sparsediscrim

Sparse and Regularized Discriminant Analysis

stanford-stat-352

tidymodels slides for "Topics in Computing for Data Science"

2021-r-pharma

Public Slides and sources for 2021 R/Pharma talk

2024_bureau_of_labor_statistics

Introduction to tidymodels for the Bureau of Labor Statistics

2024-posit-conf

Evaluating time-to-event models is hard

2022-06-NYR

Monitor Your Data As Well As Your Model

resampling_sim

Assessing the bias and precision of resampling methods via simulation

filterdb

Methods for Supervised Filtering of Predictors

agua-h2o-benchmark

2023_AstraZeneca

Slides and code for the tidymodels tutorial for AstraZeneca

2023-r-pharma

Slides for "Serverless Shiny in Quarto Documents"

2022-r-pharma

Slides for the 2022 conference

2022-AZ-keynote

Slides for AstraZeneca R Conference

ggplots-in-quarto-table

quarto test repo

2020-EARL

Talk slide for EARL 2020 keynote

stacking_characterizations

Sandbox to looking into parameters affecting model stacking

Grants

postprocessing-data

Discussion of data usage ideas for postprocessors

bookdown-chunk-option-test

source-shiny

sourcing external R files with shiny apps

parallel-printing

small scripts to test logging via different parallel processing techniques

2023_work_week

charactizerize slides

2019-R-Ladies-Miami

Totally Tidy Tuning Tools Talk

IFCS-2017

Workshop Slides for International Federation of Classification Societies (IFCS)

beans

Data on dry beans from Koklu and Ozkan (2020)

desirability

S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980)

adjusted

Post-Hoc Nearest Neighbor Adjustment of Regression Predictions

quarto-book-test

template for testing a quarto book

sparse-tibble-benchmarks

small comparisons for a few models

2024_PharmaDS

Slides for "What Happens After the Model?"