You are given a data set with information from 1,000 high school students (of which the following is a part of the data) and asked to build a machine learning solution that can predict the success of a student in completing a college degree. which technique would be the best to use? select one: a. clusteringb. text analyticsc. regressiond. classification

Classification

Explanation:

Building a machine learning solution that can predict the success of a student in completing a college degree is a binary problem. There are two possible success or not success.  

This brings us to a supervised machine learning problem, where one trains the technique with labeled data whether it is a success or not. Since the target variable is discrete (not continuous), classification technique has to be used.