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

Posts

Predicting bike ridership: deploying the model

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.

May 19, 2022
Taylor Dunn

Predicting bike ridership: developing a model

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.

Apr 29, 2022
Taylor Dunn

Predicting bike ridership: getting the data

R
API

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

Apr 27, 2022
Taylor Dunn

Analyzing US baby names over the years

R
TidyTuesday
data visualization

TidyTuesday 2022 Week 12: Baby names.

Mar 26, 2022
Taylor Dunn

Canada COVID-19 data in R: scheduling API queries

R
COVID-19
API
package development
GitHub actions
cron

Scheduling data retrieval and updating with GitHub Actions and cron.

Jan 22, 2022
Taylor Dunn

Canada COVID-19 data in R: creating a package

R
COVID-19
API
package development

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

Dec 30, 2021
Taylor Dunn

Canada COVID-19 data in R: exploring the API

R
COVID-19
API

An exploration of the Canadian COVID-19 tracker API.

Dec 28, 2021
Taylor Dunn

Advent of Code 2021: Days 21-25

Advent of Code
Python
R

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

Dec 21, 2021
Taylor Dunn

Advent of Code 2021: Days 16-20

Advent of Code
Python
R

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

Dec 16, 2021
Taylor Dunn

Advent of Code 2021: Days 11-15

Advent of Code
Python
R

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

Dec 11, 2021
Taylor Dunn

Advent of Code 2021: Days 6-10

Advent of Code
Python
R

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

Dec 6, 2021
Taylor Dunn

Advent of Code 2021: Days 1-5

Advent of Code
Python
R

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

Dec 1, 2021
Taylor Dunn

TidyTuesday 2021 Week 21

R
TidyTuesday
text mining
data visualization

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

May 18, 2021
Taylor Dunn

TidyTuesday 2020 Week 45

R
TidyTuesday
tidymodels
machine learning
random forest

#TidyTuesday 2020-11-03: Ikea Furniture.

Nov 8, 2020
Taylor Dunn

TidyTuesday 2020 Week 28

R
TidyTuesday
tidymodels
machine learning
random forest
lasso

#TidyTuesday 2020-07-07: Coffee Ratings.

Jul 12, 2020
Taylor Dunn

Ordinal regression in R: part 2

R
regression
ordinal
Bayesian statistics

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

Mar 17, 2020
Taylor Dunn

Ordinal regression in R: part 1

R
regression
ordinal
frequentist statistics

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

Mar 15, 2020
Taylor Dunn
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