Why is data visualization important? Select all that apply. It helps us to find data that might need to be transformed or cleaned It helps us to build intuition about our data/problem It allows us to know exactly how well our ML algorithm will perform It helps us to build assumptions about our data which helps us to choose the right ML algorithms Question 7 Before starting any ML project, it is helpful to do which of the following? Select all that apply. Describe and think through how you would solve the problem Determine why the problem needs to be solved Determine what the problem is Data cleaning refers to what? Select one answer. Spliting the data Encoding the data Scaling the data Removing outliers, missing data, erroneous data, irrelevant data, and formatting data Question 9 We perform when we want to scale our features to have a mean of 0 and a standard deviation of 1. Select the best answer. regularization MinMax Z-score standardization normalization We perform when we want to scale our features to have a range between 0 and 1 . Select the best answer. standardization calibration regularization normalization