Packages

We will use the following packages available in R for supervised and unsupervised learning:

• rattle: This is a data mining GUI in R
• rpart.plot: This is used to plot the r.part models
• caret: This is used for classification and regression training
• kknn: These are the weighted k nearest neighbors
• kernlab: This is used for kernel-based machine learning
• e1071: This package contains miscellaneous functions of the Department of Statistics
• MCMCpack: This package contains the functions for Markov chain Monte Carlo algorithm
• randomForest: This is used for classification and regression based on a forest of trees using random inputs
• FactoMineR: This is used for multivariate exploratory data analysis and data mining with R

Supervised learning

In supervised learning we have a target variable and a number of possible predictor variables. The objective is to associate the predictor variables in such a way so as to accurately predict the target variable. We are using some portion of observed data to learn...