This package will enable Barchen workers to analyze their students by extracting logs from their database, performing clusterings based on PCA results, and modelizing the patterns which lead to success or failure at the final exam, thanks to decision trees and visualization tools developped by Datastorm. Machine Learning algorithms such as Logistic Regression, Random Forest or kmeans will also be used to perform predictions.
Package details 


Author  Guillaume Le Floch 
Maintainer  Guillaume Le Floch <[email protected]> 
License  no license 
Version  0.1.0 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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