Question 1

What is the primary goal of regularization techniques in machine learning?

Options :

A : To reduce overfitting

B : To increase variance

C : To reduce bias

D : To increase model complexity

Answer: A

Question 2

In linear algebra, what term refers to a vector that has a length of 1 and points in a specific direction?

Options :

A : Unit vector

B : Orthogonal vector

C : Scalar

D : Eigenvalue

Answer: A

Question 3

Which statistical concept measures the strength and direction of the linear relationship between two continuous variables?

Options :

A : Pearson correlation

B : Entropy

C : Gini index

D : Spearman correlation

Answer: A

Question 4

In data wrangling, what term describes the process of removing duplicate observations from a dataset?

Options :

A : Imputation

B : Merging/combining

C : Cleaning

D : Deduplication

Answer: D

Question 5

Which of the following describes the appropriate use case for PCA?

Options :

A : Dimensionality reduction

B : Classification

C : Regression

D : Recommendation

Answer: A

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