An R Shiny app for exploring various machine learning algorithms. Algorithms that can be explored include linear regression, regularized regression, decision tree, random forest, support vector machine, and gradient boosting. Model creation, training, tuning, and prediction can be performed using one of these available algorithms. Exploratory data analysis can be performed prior to model development to identify missing or outlying values and to better understand features and relationships in the given dataset.
This app was created by Charles Holbert. Check out the app here. The Home section of the app contains more information.