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 k-means will also be used to perform predictions.
|Author||Guillaume Le Floch|
|Maintainer||Guillaume Le Floch <[email protected]>|
|Package repository||View on GitHub|
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