Ridge, Lasso & Elastic Net Regression with R | Boston Housing Data Example, Steps & Interpretation
Автор: Dr. Bharatendra Rai
Загружено: 2018-03-28
Просмотров: 51697
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
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