How do you prevent your model from becoming overfitting?

How do you prevent your model from becoming overfitting?

A model that is overfitted ignores the wider picture and is only tuned for a relatively tiny quantity of data. To prevent overfitting, there are three basic strategies:

• Keep the model straightforward by considering fewer variables, which will help to reduce some of the noise in the training data.
• Utilize cross-validation methods, such as the k-folds method.
• If you want to avoid overfitting, employ regularisation techniques like LASSO that penalize specific model parameters.