Question 1

What is the main difference between AI and ML?

Accepted Answer

AI simulates human intelligence, ML learns from data

Answer

AI only works with big data, ML works with small data

Answer

AI learns from data, ML simulates human intelligence

Answer

AI is based on neural networks, ML is not

Question 2

What does deep learning (DL) involve?

Accepted Answer

Neural networks with many layers

Answer

Basic decision trees

Answer

Simple linear regression

Answer

Clustering data

Question 3

Which stage is part of the machine learning pipeline?

Accepted Answer

All of the above

Answer

Model training

Answer

Data collection

Answer

Feature engineering

Question 4

What is the purpose of feature engineering in the machine learning pipeline?

Accepted Answer

To convert raw data into usable features

Answer

To collect new data

Answer

To visualize the data

Answer

To tune hyperparameters

Question 5

What is the main goal of unsupervised learning?

Accepted Answer

To learn patterns from unlabeled data

Answer

To optimize a reward function

Answer

To predict outcomes based on labeled data

Answer

To classify data into predefined categories

Question 6

Which method is commonly used for gathering data from websites?

Accepted Answer

Web scraping

Answer

Data augmentation

Answer

API calls

Answer

Survey data collection

Question 7

What is the purpose of using APIs in data collection?

Accepted Answer

To access data from external sources

Answer

To perform model training

Answer

To clean and preprocess data

Answer

To create surveys

Question 8

In data collection, what is data augmentation used for?

Accepted Answer

To increase the size of the dataset artificially

Answer

To clean noisy data

Answer

To combine different datasets

Answer

To label data

Question 9

Which Python library is most commonly used for handling large datasets and dataframes?

Accepted Answer

Pandas

Answer

Seaborn

Answer

NumPy

Answer

Matplotlib

Question 10

What is the function df.tail(10) used for in Pandas?

Accepted Answer

To print the last 10 rows of the dataframe

Answer

To print the first 10 rows of the dataframe

Answer

To print the last 10 cols of the dataframe

Answer

To print the first 10 cols of the dataframe

Question 11

Which of the following is an example of a supervised learning algorithm?

Accepted Answer

Decision trees

Answer

DBSCAN

Answer

Principal component analysis (PCA)

Answer

K-means clustering

Question 12

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

Accepted Answer

To understand the dataset's structure and identify patterns

Answer

To develop machine learning models

Answer

To tune the model's hyperparameters

Answer

To deploy the model to production

Question 13

What’s the favorite snack of a machine learning model?

Accepted Answer

Data

Answer

Deployment

Answer

Document

Answer

Decision

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