Data Preprocessing

Question 2 2 pts Select one that is not data cleaning technique. Aggregation O binning regression clustering Question 3 2 pts Different scales in independent variables are often challenging for ML algorithms to optimize the objective function. Also, the learned models are hard to interpret as the weights for different input scales can be biased. Therefore, it is recommended to change the input variable to the same range. What data preprocessing technique is this about? Data Transformation Data Cleaning Data Reduction O Data Disretization Question 5 2 pts Which one of the following discretizes the data by merging in a bottom-up manner? Correlation analysis Clustering analysis O. Histogram analysis O Decision tree analysis