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Quiz-4 ML

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

What is Machine Learning

a)

The autonomous acquisition of knowledge through the use of computer programs

b)

The autonomous acquisition of knowledge through the use of manual programs

c)

The selective acquisition of knowledge through the use of computer programs

d)

The selective acquisition of knowledge through the use of manual programs

2.

What is data science?

a)

The study of computers and their applications

b)

The extraction of meaningful insights from data

c)

The analysis of physical and biological processes

d)

The study of algorithms and data structures

3.

Which programming language is widely used in data science?

(a)  

4.

What is the process of converting raw data into a usable format called?

a)

Data visualization

b)

Data preprocessing

c)

Data modeling

d)

Data analysis

5.

Which of the following is NOT a supervised learning algorithm?

a)

Linear regression

b)

Decision tree

c)

K-means clustering

d)

Random forest

6.

What is the purpose of exploratory data analysis (EDA)?

a)

To predict future outcomes

b)

To summarize and visualize data

c)

To remove outliers from the dataset

d)

To transform categorical variables into numerical ones

7.

Which evaluation metric is commonly used for classification problems?

a)

Mean Squared Error (MSE)

b)

R-squared (R^2)

c)

Accuracy

d)

Root Mean Squared Error (RMSE)

8.

What is the purpose of regularization in machine learning?

a)

To reduce overfitting

b)

To increase model complexity

c)

To speed up model training

d)

To eliminate outliers from the dataset

9.

What is the process of finding the best hyperparameters for a model called?

a)

Feature selection

b)

Model selection

c)

Hyperparameter tuning

d)

Cross-validation

10.

Which data visualization technique is best suited for displaying categorical data?

a)

Scatter plot

b)

Histogram

c)

Box plot

d)

Bar chart

11.

Which statistical test is used to determine if there is a significant difference between two groups?

a)

t-test

b)

ANOVA

c)

Chi-square test

d)

Pearson correlation

12.

What is the purpose of feature engineering?

a)

To create new features from existing ones

b)

To remove irrelevant features from the dataset

c)

To normalize the data

d)

To handle missing values in the dataset

13.

What is the purpose of cross-validation in machine learning?

a)

To assess model performance on unseen data

b)

To split the dataset into training and testing sets

c)

To preprocess the data before model training

d)

To handle class imbalance in the dataset

14.

Which algorithm is commonly used for anomaly detection?

a)

Linear regression

b)

Logistic regression

c)

K-means clustering

d)

Decision tree

15.

What is the purpose of dimensionality reduction?

a)

To increase the number of features in the dataset

b)

To remove outliers from the dataset

c)

To visualize high-dimensional data

d)

To handle missing values in the dataset

16.

Which algorithm is used for unsupervised learning?

a)

Linear regression

b)

Decision tree

c)

K-means clustering

d)

Random forest

17.

Python stands for

a)

Monty Python

b)

Santa Python

c)

Snake Python

d)

Anaconda Python

18.

Which one is correct python logo

a)

b)

c)

d)

19.

Extensions of Python files is

a)

.python

b)

.py

c)

.pn

d)

.po

20.

Python first released on

a)

Feb 20, 1991

b)

Mar 20, 1991

c)

Feb 20, 1996

d)

Mar 20, 1996