Multiple Choice
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)
Correct Answer:
Verified
Correct Answer:
Verified
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