Description
- Consider any dataset. You can create own or use any publicly available dataset. Pretend the goal is to predict the target variable.
- Run ridge regression (RR) on the data.
- Find the λ value that minimizes the cross validated error/training error.
- Provide plots for both the cross validated error/training error and the coefficients as functions of λ .
- Run lasso on the data.
- Find the λ value that minimizes the cross validated error/training error.
- Provide plots for both the cross validated error/training error and the coefficients as functions of λ .
- Examine the model coefficients for the chosen λ. You can use either pair plot or bar diagram to visualize the model coefficients.
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