data-science-competitions/IEEE-CIS-Fraud-Detection: R Project Template for Analytic Applications such as Machine Learning Competitions

Using this template reduces: * Unnecessary variance between projects configurations; and * Development time spent on making a barebone project working for the first time. This is possible as the boilerplate comes with: * Fully configured test-suite, including code-coverage; and * Fully configured continuous-integration (CI) script for Travis.

Getting started

Package details

MaintainerHarel Lustiger <tidylab@gmail.com>
LicenseMIT + file LICENSE
Version0.19.30
URL https://github.com/data-science-competitions
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("data-science-competitions/IEEE-CIS-Fraud-Detection")
data-science-competitions/IEEE-CIS-Fraud-Detection documentation built on Nov. 4, 2019, 9:40 a.m.