Data Science, Machine Learning, Data Analytics, Knowledgebase Analytics, Regularization.
lassoModel$bestTune$lambda)) coef <- coef[coef != 0, , drop = FALSE] # Remove zero coefficients # Remove the intercept coef <- coef[-1, , drop = FALSE] # Create a data frame for plotting coef_df <- data.frame( Feature = rownames(coef), Coefficient = as.vector(coef) ) # Plot ggplot(coef_df, aes(x =