MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Answer-A) PCA Is not supervised learning.

Detailed explanation-2: -Regression is used to understand the relationship between dependable and independent variables. Moreover, it is a type of supervised learning that learns from labelled data sets to predict continuous output for different data in an algorithm.

Detailed explanation-3: -One practical example of supervised learning problems is predicting house prices. How is this achieved? First, we need data about the houses: square footage, number of rooms, features, whether a house has a garden or not, and so on. We then need to know the prices of these houses, i.e. the corresponding labels.