- The purpose of this exercise is to explore and visualise US Building permit data, and to form a view on some of the long term trends with the help of basic detrending modelling techniques.
- Some trivial (but crucial) R techniques used here include :
- dplyr for slicing and dicing the data
- ggplot for visualisations
- Simple linear regression + nesting data and mapping
- Click here to view Markdown.
- Details of the underlying data can be found here
- This is to explore the implementation of ML techniques using TidyModels
- My personal go-to package in the past was Caret, but given the ease of integration of TidyModels into the Tidyverse (esp with pipe operators and purrr), it is certainly worth the transition.
- This is simply a quick and dirty play-around of TidyModel's key features and functionalities, stay tuned for more refined projects in the future.
- Click here to view Markdown.