In building machine learning models, we need to split data into training and validation sets. Train the model on the validation dataset and evaluate the model performance on the training dataset. True False What are the two flavors of supervised learning? Features and Targets Carrot and Stick Classification and Regression Training and Testing The following task is an example of unsupervised learning: Task) Based on customers' purchase history, find which items they are likely to be interested next. True False