__________ involves descriptive statistics, data visualization, and clustering.
A)Data exploration
B)Data partitioning
C)Data preparation
D)Model assessment

Question

Quizplus · Accepted Answer

Data exploration involves using descriptive statistics, data visualization, and clustering to gain a better understanding of the data and identify any patterns or relationships. Data partitioning involves dividing the data set into subsets for training and testing a model. Data preparation involves cleaning, transforming, and encoding the data for analysis. Model assessment involves testing the performance of a model on a new set of data.

__________ Involves Descriptive Statistics, Data Visualization, and Clustering