Multiple Choice
Classification analysis is the categorization of data into groups based on similarities found in a data label that was previously defined. Classification analysis might sound closely related to clustering-and these two types of analysis do have similarities. While they are both methods of categorization, they differ in the type of Machine Learning (ML) they use. Classification uses
A) unsupervised ML to analyze unlabeled data inputs.
B) supervised ML to analyze labeled data inputs.
C) unsupervised ML to analyze labeled data inputs.
D) supervised ML to analyze unlabeled data inputs.
Correct Answer:

Verified
Correct Answer:
Verified
Q1: Consider the simple linear regression equation:<br>Y =
Q2: Choose from the definitions below the best
Q3: What uses complex calculations to predict the
Q4: What is a type of network analysis
Q6: Natural Language Processing (NLP) is a form
Q7: There are four widely used categories of
Q8: Classification analysis is the categorization of data
Q9: You are presented with a data set
Q10: Exploring a new data set and understanding
Q11: Five data analytics-related job titles were discussed