A real estate company wants to create a machine learning model for predicting housing prices based on a historical dataset. The dataset contains 32 features. Which model will meet the business requirement?
A) Logistic regression
B) Linear regression
C) K-means
D) Principal component analysis (PCA)

Question

Quizplus · Accepted Answer

Linear regression is a supervised machine learning algorithm that can be used to predict continuous values, such as housing prices. It is a simple and effective algorithm that is easy to implement and interpret.

A Real Estate Company Wants to Create a Machine Learning