Question 1

What is the primary objective of k-means clustering?

Options :

A : Classification

B : Association Rule Learning

C : Regression

D : Dimensionality Reduction

E : Clustering

F : Anomaly Detection

Answer: E

Question 2

Which of the following is NOT a common technique for improving the performance of classification models?

Options :

A : Feature Engineering

B : Ensemble Learning

C : Hyperparameter Tuning

D : Regularization

E : Gradient Descent

F : Dimensionality Reduction

Answer: E

Question 3

What is the primary objective of logistic regression in machine learning?

Options :

A : Unsupervised Learning

B : Classification

C : Clustering

D : Dimensionality Reduction

E : Regression

F : Anomaly Detection

Answer: B

Question 4

What is the main purpose of using activation functions in neural networks?

Options :

A : To normalize input data

B : To introduce non-linearity

C : To reduce dimensionality

D : To cluster data

Answer: B

Question 5

How does batch normalization help in training deep neural networks?

Options :

A : By reducing overfitting

B : By speeding up convergence

C : By increasing model accuracy

D : By simplifying the model architecture

Answer: B

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