Why is Lasso Regression Important in Nanotechnology?
Nanotechnology involves dealing with a vast amount of data due to the complexity and scale of experiments. Researchers often encounter datasets with a high number of features (variables), sometimes even more than the number of observations. This can lead to issues like overfitting and multicollinearity. Lasso regression helps by selecting a subset of relevant features, thereby simplifying models and improving their generalizability.
