vIf your dataset is suffering from high variance, how would you handle it?

- To handle high variance, you can:

     - Regularize the model (e.g., Lasso or Ridge regression).

     - Use ensemble techniques like Random Forest or Gradient Boosting.

     - Collect more data to reduce variability.

     - Reduce the complexity of the model (e.g., feature selection).