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.