https://github.com/davidski/applied_predictive_modeling

📚 Notes from a bookclub's weekly exploration of Applied Predictive Modeling
https://github.com/davidski/applied_predictive_modeling

bookclub caret modeling rstats

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📚 Notes from a bookclub's weekly exploration of Applied Predictive Modeling

• Host: GitHub
• URL: https://github.com/davidski/applied_predictive_modeling
• Owner: davidski
• Created: 2018-05-28T21:44:16.000Z (over 6 years ago)
• Default Branch: main
• Last Pushed: 2021-01-22T03:47:13.000Z (about 4 years ago)
• Last Synced: 2024-11-15T15:14:04.773Z (2 months ago)
• Topics: bookclub, caret, modeling, rstats
• Language: HTML
• Homepage:
• Size: 3.8 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd

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README

        
---

title: "Applied Predictive Modeling Notes"

output: github_document

---

```{r setup, include=FALSE}

knitr::opts_chunk$set(echo = TRUE)

library(tidyverse)

```

Working notes for the `compute` (general principles) and `exercises` 

(specific open ended tasks) sections of Kuhn & Johnson's Applied Predictive 

Modeling text. Where practical, examples are converted to `tidyverse` versions.

This repository is a companion to an internal weekly bookclub on the topic. 

We're going through a chapter a week.

## Data Sets

```{r data_sets}

data(package = c("AppliedPredictiveModeling", "mlbench", "caret") ) -> dat

as_tibble(dat$results) %>% select(-LibPath) %>% print(n = nrow(.))

```