Data Science Advanced Quiz 8

In the context of time-series forecasting, what is seasonality?

Which regularization technique adds both L1 and L2 penalties?

Which of the following loss functions is typically used for classification problems?

Which algorithm does not rely on a distance metric?

Which of the following methods can be used for hyperparameter tuning in machine learning models?

In a random forest, how are the trees made different from each other?

Which evaluation metric is most appropriate for a regression model?

Which technique is used to reduce the dimensionality of data while preserving variance?

Which of the following is used to handle imbalanced datasets in machine learning?

What is the primary difference between Bagging and Boosting algorithms?