Discover topepo/2022-06-NYR 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

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

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

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?"