How can I find the following in R given dataset DATA: 1. The pixel values in both the training set ranges in [0, 255], thus divide them by 255 to normalize them between [0, 1]. 2. Train Logistic Regression on the training set.

3. Train LDA and QDA on the training set

3. Train the Naive Bayes classifier by tuning the bandwidth parameter using a 10-fold cross- validation on the training set. Then, use ROC-AUC as a measure to tune in 10-fold Cross Validation (5 points)