Discover topepo/useR2016 Open Source project by Max Kuhn (@topepo)

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

705

APM_Exercises

TeX

193

rstudio-conf-2019

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

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

151

rstudio-conf-2018

Course materials for Applied Machine Learning course in 2019 in London

aml-london-2019

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

C5.0

tidy-apm

tidymodels code for the book Applied Predictive Modeling

Cubist

An R package for fitting Quinlan's Cubist regression model

tidyAPM

tidymodels code for Applied Predictive Modeling

shinylive-in-book-test

testing shiny in quarto docs

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

user2018

Data and code from Applied Predictive Modeling (2013)

AppliedPredictiveModeling

DC-ML-2018

Materials for the Applied Machine Learning Workshop in Washington DC

Presentations for Madrid R conference

XIjuR-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).

sdss-2019

Materials for the 2020 NYR Machine Learning workshop

nyr-2020

Another fuel economy data set but updated

cars

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

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

Optimization-Methods-for-Tuning-Predictive-Models

NY-ML-2018

Materials for the Applied Machine Learning Workshop in New York

Ames IA Housing data from De Cock (2011)

AmesHousing

odsc_rules

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

an-introduction-to-tidymodels

Overview of our packages

Tools for Supervised Feature Selection

important

par-caret-bench

parallel processing benchmarks for caret

2021-NYR

2022-nyr-workshop

Code and notes for the tidymodels workshop

Materials for the Applied Machine Learning Workshop in Washington DC

DC-ML-2019

Slides and sources for 2020 R/Pharma talk

2020-r-pharma

Workshop notes for NYR conference workshop

nyr-2019

2021-Cleveland-RUG

Talk slides

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

ICHPS2015_Class_Imbalance

RPharma-2019-Workshop

Course notes and code for the workshop

Figures for the book Applied Predictive Modeling

APM_Figures

dummies-vs-factors

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

2021-nyr-workshop

Machine Learning 1 day workshop

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

sparselda

conformal_sim

simulations to measure interval coverage

2020-earl-workshop

Notes and code for "A Quick Introduction to tidymodels"

nyr-2020-talk

Slides

Slides and code for "Cooking Your Data with Recipes"

2021_11_HDSI_RUG

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

characterize

R-Pharma-2019

conference slides for R/Pharma 2019 talk

Slides and code for "Conformal Inference with Tidymodels"

posit-2023-conformal

2023_Shell_bootcamp

An introduction to workflow sets

2021-LA-RUG

SHINYLIVE IS SO EASY talk

2024_05_NYR

Slides for the 2023 LatinR Keynote

2023-latinR

Slides for talk to the FDA Modeling and Simulation Working Group

2024_FDA_Mod_and_Sim

Talk: The Post-Modeling Model to Fix the Model

2023-07-NYR

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

2024_SSA_SCV

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

deploycaret

2020-CT-ASA

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

materials for shiny workshop at the 2019 Nonclinical Biostatistics Conference

ncb-2019-shiny

What's New and Upcoming in tidymodels

2021_NY_RUG

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

ongoal

sommelier

LLM helper for tidymodels

sparsediscrim

Sparse and Regularized Discriminant Analysis

stanford-stat-352

tidymodels slides for "Topics in Computing for Data Science"

Public Slides and sources for 2021 R/Pharma talk

2021-r-pharma

Introduction to tidymodels for the Bureau of Labor Statistics

2024_bureau_of_labor_statistics

Evaluating time-to-event models is hard

2024-posit-conf

Monitor Your Data As Well As Your Model

2022-06-NYR

Assessing the bias and precision of resampling methods via simulation

resampling_sim

filterdb

Methods for Supervised Filtering of Predictors

agua-h2o-benchmark

2023_AstraZeneca

Slides and code for the tidymodels tutorial for AstraZeneca

Slides for "Serverless Shiny in Quarto Documents"

2023-r-pharma

Slides for the 2022 conference

2022-r-pharma

Slides for AstraZeneca R Conference

2022-AZ-keynote

ggplots-in-quarto-table

quarto test repo

Talk slide for EARL 2020 keynote

2020-EARL

Sandbox to looking into parameters affecting model stacking

stacking_characterizations

Grants

Grant Data

postprocessing-data

Discussion of data usage ideas for postprocessors

CSS

bookdown-chunk-option-test

TeX

source-shiny

sourcing external R files with shiny apps

small scripts to test logging via different parallel processing techniques

parallel-printing

2023_work_week

charactizerize slides

Totally Tidy Tuning Tools Talk

2019-R-Ladies-Miami

Workshop Slides for International Federation of Classification Societies (IFCS)

IFCS-2017

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

small comparisons for a few models

sparse-tibble-benchmarks

2024_PharmaDS

Slides for "What Happens After the Model?"