# Self-Drive Machine Learning Projects

## Documentation for package ‘DriveML’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

autoDataprep | Automatic data preparation for ML algorithm
autoMAR | Function to identify and generate the Missing at Random features (MAR)
autoMLmodel | Automated machine learning training of models
autoMLReport | Display autoMLmodel output in HTML format using Rmarkdown
autoPDP | Generate partial dependence plots
generateFeature | Automated column transformer
heart | Dataset Heart Disease - Classifications
heart.model | Heart Classification Drive ML Model.
misspattern | Missing pattern analysis for missing data
predictAutoMAR | Extract predictions and MAR columns from autoMAR objects
predictDataprep | Extract predictions and generate columns from autoDataprep objects
printautoDataprep | Print Method for the autoDataprep Class
printautoMAR | Print Method for the autoMAR Class Print the result of autoMAR object
smartEDA | SmartEDA - functions that automates most of exploratory analyses tasks in modeling