Ridge, Lasso & Elastic Net Regression with R | Boston Housing Data Example, Steps & Interpretation

Provides example with interpretations of applying Ridge, Lasso & Elastic Net Regression using Boston Housing data. R file: https://goo.gl/ywtVYg Machine Learning videos: https://goo.gl/WHHqWP Includes. example with Boston housing data illustrates use of caret package data partition custom control parameters cross validation linear model residuals plot use of glmnet package ridge regression plot results log lambda plot fraction deviance explained plot variable importance plot interpretation lasso regression elastic net regression compare models best model saving and reading final model for later use prediction R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular. #ridge #elasticnet #lasso