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
.