Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
important features may be neglected. If it’s too small, the model may overfit the data. Selecting the appropriate value often requires trial and error or techniques like cross-validation. Limitations in Feature Selection: While Lasso can perform feature selection, it tends to favor selecting one