Analysis of a Spam Dataset using statistical modelling. Model bagging and boosting are applied in R. We demonstrate the use of decision trees, random forests, and gradient boosting.
-
Updated
Feb 2, 2021 - R
Analysis of a Spam Dataset using statistical modelling. Model bagging and boosting are applied in R. We demonstrate the use of decision trees, random forests, and gradient boosting.
This is a naivebayes algo model performed on HAM vs SPAM dataset. The model still requires some alterations in code but it's a working model.
Add a description, image, and links to the spam-dataset topic page so that developers can more easily learn about it.
To associate your repository with the spam-dataset topic, visit your repo's landing page and select "manage topics."