Publications by H. K. Tseng
Statistical Learning: Week-7
Ridge and LASSO regressions Fit ridge and LASSO regressions, interpret coefficients and visualize their variation across the range of \(\lambda\). # load the required packages and data library(glmnet) library(caret) library(plotmo) data(mtcars) names(mtcars) # As usual, check out what's inside the loaded dataframe ## [1] "mpg" "cyl" "disp"...
1993 sym R (26561 sym/66 pcs) 5 img
Note: LASSO, Ridge, and Penalty explained
LASSO vs. Ridge LASSO and Ridge regression are regression methods that perform \(variable\) \(selection\) and \(regularization\) to enhance prediction accuracy and interpretability of the statistical model. In short, they do two things Variable selection: identify important variables in the data that explain major variation in the outcome vari...
4685 sym Python (11149 sym/43 pcs) 3 img
Note: LASSO, Ridge, and Penalty explained
LASSO vs. Ridge LASSO and Ridge regression are regression methods that perform \(variable\) \(selection\) and \(regularization\) to enhance prediction accuracy and interpretability of the statistical model. In short, they do two things Variable selection: identify important variables in the data that explain major variation in the outcome vari...
4700 sym Python (11119 sym/43 pcs) 3 img
Statistical Learning: Week 7
Ridge and LASSO regressions Fit ridge and LASSO regressions, interpret coefficients and visualize their variation across the range of \(\lambda\). # load the required packages and data library(glmnet) library(caret) library(plotmo) data(mtcars) names(mtcars) # As usual, check out what's inside the loaded dataframe ## [1] "mpg" "cyl" "disp"...
1963 sym R (26556 sym/66 pcs) 5 img
Statistical Learning: Week 7
Ridge and LASSO regressions Fit ridge and LASSO regressions, interpret coefficients and visualize their variation across the range of \(\lambda\). # load the required packages and data library(glmnet) library(caret) library(plotmo) data(mtcars) names(mtcars) # As usual, check out what's inside the loaded dataframe ## [1] "mpg" "cyl" "disp"...
563 sym R (25847 sym/63 pcs) 5 img
Note: LASSO, Ridge, and Penalty explained
LASSO vs. Ridge LASSO and Ridge regression are regression methods that perform \(variable\) \(selection\) and \(regularization\) to enhance prediction accuracy and interpretability of the statistical model. In short, they do two things Variable selection: identify important variables in the data that explain major variation in the outcome vari...
4700 sym Python (10899 sym/43 pcs) 3 img
Statistical Learning: Week 6
Polynomial regression and the use of \(\texttt{poly()}\) function. set.seed(123) n = 10 xr = seq(0, n, by = 0.1) # Generate a sequence of numerical values, from 0 to n=10, by an increment of 0.1 # Generate a random data using sin function plus some random errors yr = sin(xr/2) + rnorm(length(xr))/2 # Combine x and y into a dataframe (df) df ...
885 sym R (27859 sym/74 pcs) 20 img
Statistical Learning: Week 6
Polynomial regression and the use of \(\texttt{poly()}\) function. set.seed(123) n = 10 xr = seq(0, n, by = 0.1) # generate a sequence of numerical values, from 0 to n=10, by an increment of 0.1 # Generate a random data using sin function plus some random errors yr = sin(xr/2) + rnorm(length(xr))/2 # Combine x and y into a dataframe (df) df ...
885 sym R (27719 sym/74 pcs) 20 img
Statistical Learning: Week 6
Polynomial regression and the use of \(\texttt{poly()}\) function. set.seed(123) n = 10 xr = seq(0, n, by = 0.1) # generate a sequence of numerical values, from 0 to n=10, by an increment of 0.1 # Generate a random data using sin function plus some random errors yr = sin(xr/2) + rnorm(length(xr))/2 # Combine x and y into a dataframe (df) df ...
882 sym R (27878 sym/76 pcs) 19 img
Statistical Learning: Week 5
Binary outcome as a generalization of linear regression model with limited dependent variables Estimating a model of binary outcome using lm() function. library(ISLR) data(Default) names(Default) ## [1] "default" "student" "balance" "income" ## Convert the outcome variable "default" to numeric: Yes = 1, No = 0 # The ifelse logic: ifelse(if a va...
995 sym R (35436 sym/115 pcs) 7 img