May 19, 2022

Taylor Dunn

R

machine learning

tidymodels

XGBoost

Google Cloud Platform

Docker

Shiny

forecasting

MLOps

Part 3 of predicting bike ridership in Halifax, Nova Scotia. In this post, I deploy the machine learning model on Google Cloud Platform.

April 29, 2022

Taylor Dunn

R

machine learning

tidymodels

random forest

XGBoost

support-vector machine

forecasting

Part 2 of predicting bike ridership in Halifax, Nova Scotia. In this post, I explore and tune different modeling approaches.

April 27, 2022

Taylor Dunn

R

API

Part 1 of predicting bike ridership in Halifax, Nova Scotia. In this post, I retrieve and explore data from two open APIs.

March 26, 2022

Taylor Dunn

TidyTuesday

data visualization

TidyTuesday 2022 Week 12: Baby names.

Jan. 22, 2022

Taylor Dunn

R

COVID-19

API

package development

GitHub actions

cron

Scheduling data retrieval and updating with GitHub Actions and cron.

Dec. 30, 2021

Taylor Dunn

R

COVID-19

API

package development

Creating an R package that wraps the Canadian COVID-19 tracker API.

Dec. 28, 2021

Taylor Dunn

R

COVID-19

API

An exploration of the Canadian COVID-19 tracker API.

Dec. 21, 2021

Taylor Dunn

Advent of Code

Python

R

My solutions to the #AdventOfCode2021 coding challenges, days 21 through 25.

Dec. 16, 2021

Taylor Dunn

Advent of Code

Python

R

My solutions to the #AdventOfCode2021 coding challenges, days 16 through 20.

Dec. 11, 2021

Taylor Dunn

Advent of Code

Python

R

My solutions to the #AdventOfCode2021 coding challenges, days 11 through 15.

Dec. 6, 2021

Taylor Dunn

Advent of Code

Python

R

My solutions to the #AdventOfCode2021 coding challenges, days 6 through 10.

Dec. 1, 2021

Taylor Dunn

Advent of Code

Python

R

My solutions to the #AdventOfCode2021 coding challenges, days 1 through 5.

May 18, 2021

Taylor Dunn

TidyTuesday

text mining

data visualization

#TidyTuesday 2021-05-18: Ask a Manager Salary Survey.

Nov. 8, 2020

Taylor Dunn

TidyTuesday

tidymodels

machine learning

random forest

#TidyTuesday 2020-11-03: Ikea Furniture.

July 12, 2020

Taylor Dunn

TidyTuesday

tidymodels

machine learning

random forest

lasso

#TidyTuesday 2020-07-07: Coffee Ratings.

March 17, 2020

Taylor Dunn

regression

ordinal

Bayesian statistics

A theoretical and applied walkthrough of ordinal regression. Part 2: the Bayesian approach with `brms`.

March 15, 2020

Taylor Dunn

regression

ordinal

frequentist statistics

A theoretical and applied walkthrough of ordinal regression. Part 1: the frequentist approach with `ordinal`.

- Articles (17)
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- API (4)
- Bayesian statistics (1)
- COVID-19 (3)
- cron (1)
- data visualization (2)
- Docker (1)
- forecasting (2)
- frequentist statistics (1)
- GitHub actions (1)
- Google Cloud Platform (1)
- lasso (1)
- machine learning (4)
- MLOps (1)
- ordinal (2)
- package development (2)
- Python (5)
- R (11)
- random forest (3)
- regression (2)
- Shiny (1)
- support-vector machine (1)
- text mining (1)
- tidymodels (4)
- TidyTuesday (4)
- XGBoost (2)