Data Science and Machine Learning

​Data Science and
Machine Learning

Multiple Choice

Why is data science considered important in today's world?

• It helps in making informed decisions using data

• It is only used for entertainment purposes

• It is not relevant to any industry

• It focuses only on collecting data

Multiple Choice

Which of the following is an example of data science in everyday life?

• Recommending shows on Netflix

• Writing a novel

• Painting a picture

• Cooking a meal

Multiple Choice

What is machine learning?

• A type of computer science that focuses on software testing

• A type of computer science that studies human behavior

• A type of computer science that focuses on hardware development

• A type of computer science that allows computer programs to learn and improve on their own

Multiple Select

Which of the following statements are true about supervised and unsupervised learning?

• Supervised learning uses labeled examples.

• Unsupervised learning finds patterns in unlabeled data.

• Supervised learning is like studying with answer keys.

• Unsupervised learning requires labeled data.

Reorder

Arrange the following in order.

• Collect

• Clean

• Analyze

• Visualize

1

2

3

4

• 1
• 2
• 3
• 4

Open Ended

Do you think data science skills can be considered a competitive advantage for students applying to college?

Multiple Choice

Which of the following is NOT an essential Python library for data science?

• NumPy

• Pandas

• Matplotlib

• Tkinter

Multiple Choice

Which of the following is an example of a project that helps you find patterns in player performance?

• Analyze Sports Stats

• Predict House Prices

• Build a personal project

• Join clubs and competitions

Match

Match the type of data to what it is used to show:

• bar graph

• line graph

• Scatter Plot

used to compare data

used to show change over time

to find correlation

• used to compare data

• used to show change over time

• to find correlation

Multiple Choice

Which machine learning algorithm would you use to predict next month's sales?

• Classification

• Regression

• Clustering

• Data Visualization

Multiple Choice

Why is transparency important in AI decision-making processes?

• It ensures that AI decisions can be understood and trusted by users.

• It makes AI systems operate faster.

• It is not important; AI should remain a black box.

• It reduces the cost of AI systems.

Multiple Choice

How can algorithmic bias be mitigated?

• By using larger datasets

• By ensuring diversity in the training data

• By increasing the processing power of the computer

• By reducing the complexity of the algorithm

Multiple Select

Select all the career paths that involve working directly with AI systems.

• Data Scientist

• ML Engineer

• AI Researcher

• Plumber