As you head into your next data science interview, make sure you know the answers to these top 5 interview questions. 1. What is the difference between supervised learning and unsupervised learning? Supervised learning and unsupervised learning are the two major categories of machine learning.

The primary difference between the two is that in supervised learning there is a target variable, or a known output to predict, whereas in unsupervised learning there is not. For this reason, data for supervised learning is called labeled and data for unsupervised learning is called unlabeled. Let’s say, for example, you are working with a dataset of voters, including zip code, income, household size, party registration, and if the person voted in the last election.

Source: towardsdatascience.com
Author: Eileen Palmer