Twitter spam detection using R caret package Follow instructions, complete all the tasks and organize answers into a word document. R script, R screenshot, your results and explanations should be covered for each question. Here are your tasks: 1. Load the dataset into R Studio and randomly split the dataset into training data and testing data with the ratio of 8:2. 2. Use training data to train a machine learning model with the neural networks algorithm (method = 'nnet'). 3. Use testing data to test and evaluate the model trained in step 2 and print the confusion matrix.