/funModeling

R package: funModeling: data cleaning, importance variable analysis and model perfomance

Primary LanguageRMIT LicenseMIT

funModeling R Package

cross_plot: importance variable anlysis

Installing the package

install.packages("funModeling")

Description:

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Data Science Live Book (open source)

Data Science Live BookJump to the book...