How can I improve my linear regression model?

How can I improve my linear regression model?

You can improve your linear regression model by feature selection, regularization, and ensuring your data is clean.

What is feature selection and why is it important?

Feature selection involves choosing the most relevant features for your model, which can enhance performance and reduce overfitting.

Can you explain regularization?

Regularization adds a penalty to the loss function to prevent overfitting, helping your model generalize better to new data.

What techniques can I use for feature selection?

You can use techniques like Recursive Feature Elimination, Lasso regression, or tree-based methods for feature selection.