Data Mining / RStudio:
Topic: Linear Regression, Shrinkage Regression
- Shrinkage Regression (Ridge Regression and LASSO Regression).
- Variable Selection using LASSO.
- Obtain the optimal tuning parameter through Cross Validation.
Aimed outcomes:
- Explain the difference in objective function between Ridge Regression and LASSO Regression.
- Understand why LASSO can be used for variable selection.
- Conduct cross-validation to obtain the optimal tuning parameter.
Required: Questions in the assignment prompt – PDF provided along with notes.
Requirements: As required
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