How can I improve my regression model?

What are some techniques to improve my regression model's accuracy?

You can try feature selection, regularization, and hyperparameter tuning to enhance accuracy.

Can you explain feature selection and why it's important?

Feature selection helps in identifying the most relevant variables, reducing overfitting and improving model performance.

What is regularization and how does it work?

Regularization adds a penalty to the loss function to prevent overfitting by discouraging overly complex models.

How do I perform hyperparameter tuning effectively?

You can use techniques like grid search or random search to find the best hyperparameters for your model.