R – Machine Learning

broom is a helpful package for transforming models into dataframes for further analysis. modelr has some useful functions for working with models. Objectives: learn to handle packages broom and modelr, randomForest model, linear, quadratic and cubic model, and a bit map() from purrr package Requirement: piping, experience of dplyr might help

Exploratory factor analysis is performed to find a lower number of unobserved variables (factors) in a larger number of correlated variables. It is a statistical technique for dimension reduction. We will analyse “forest fires” dataset.