Skip to content

mdecuir/r_recommendation_system

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Introduction

For information about this contest, please see the official Kaggle.com contest website or the official contest announcement on Dataists.com.

Getting Started

To start working on this contest, simply download/clone this repository and run the example_model.R script in an R interpreter to see the model how our baseline model works. After that, you can start trying to build a model that makes better predictions on the data/training_data.csv data set than our example model.

Please Note

The data/installations.csv file is now available, as is the data/test_data.csv file. Obviously, the values of the variable Installed are NA in both of these data sets.

About

Data and code for the Dataists R recommendation system contest

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • R 86.5%
  • Ruby 9.9%
  • Perl 3.6%