UBC-MDS/Rmleda: R package that helps with preliminary eda for supervised machine learning tasks

The project aims to build a R package called Rmleda with relevant functions to help with preliminary EDA for a given dataset. The package contains functions and classes that help perform various data preparation and wrangling tasks such as data splitting, exploration, imputation, and scaling. These functionalities were identified as commonly-performed tasks in supervised machine learning settings but may provide value in other project types as well.

install.packages("remotes")
remotes::install_github("UBC-MDS/Rmleda")