In dealing with ordinal data, it is better to use Pearson's correlation True False This dimensionality reduction technique that compresses the information in the data into a reduced set of inferred variables Factor analysis SVD PCA KNN The main difference between linear and logistic regression is the former is used for numerical data while the latter is for categorical data True False aims to predict the likelihood that an event will occur, given evidence from previous data Naive bayes Ok-means clustering pearson's r correlation spearman's correlation Which of the following python packages is best used for creating and manipulating multi-dimensional arrays life tensors and matrices? O pandas numpy matplotlib scikitlearn