# Posts

### Predicting bike ridership: deploying the model

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

### Predicting bike ridership: developing a model

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

### Analyzing US baby names over the years

TidyTuesday 2022 Week 12: Baby names.

### Canada COVID-19 data in R: scheduling API queries

Scheduling data retrieval and updating with GitHub Actions and cron.

### Canada COVID-19 data in R: creating a package

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

### TidyTuesday 2021 Week 21

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

### TidyTuesday 2020 Week 45

#TidyTuesday 2020-11-03: Ikea Furniture.

### TidyTuesday 2020 Week 28

#TidyTuesday 2020-07-07: Coffee Ratings.

### Ordinal regression in R: part 2

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

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### Ordinal regression in R: part 1

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

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