WorksheetsDATASET'24 Quizz (Round 2)
Total questions: 20
Worksheet time: 30mins
Which of the following is an example of a regression problem?
Predicting house prices
Identifying objects in images
Email spam classification
Stock market price prediction
Which of the following Python libraries is commonly used for data manipulation and analysis?
NumPy
Pandas
TensorFlow
Matplotlib
Which type of AI involves learning from experience to improve performance over time?
Rule-Based AI
Reactive AI
Machine Learning (ML)
Expert Systems
Which of the following is a method for visualizing data?
Confusion Matrix
Scatter Plot
Precision Score
Cross-validation
Which of the following is a key assumption of linear regression?
The relationship between the dependent and independent variables is non-linear.
The errors (residuals) should be normally distributed with a mean of zero.
The independent variables should be highly correlated.
The dependent variable must be categorical.
When would you use a 'Violin Plot' instead of a box plot?
When you need to visualize the data distribution and probability density
When you need to compare multiple numerical features
When you want to represent categorical data
When you have only two variables to compare
What is 'Transfer Learning' in AI?
Learning from scratch with a large dataset
The ability of an AI model to learn from one task and apply knowledge to another similar task
The process of tuning a model's hyperparameters
Learning by interaction with the environment
What is the main purpose of a 'Histogram' in data visualization?
To visualize the distribution of categorical data
To plot the relationship between two numerical variables
To display the frequency distribution of a continuous variable
To compare proportions in a dataset
What is the probability of rolling a number less than 3 on a standard die?
1/6
2/6
3/6
4/6
What does the 'p-value' in hypothesis testing indicate?
The mean of the data
The probability of rejecting the null hypothesis correctly
The spread of the data
The range of the data
What is the main purpose of feature scaling?
To improve data quality
To bring all features to the same scale
To remove irrelevant data
To create new variables
What is the term for reducing the number of irrelevant features in a dataset?
Feature Engineering
Feature Selection
Feature Scaling
Feature Extraction
Which of the following is an example of structured data?
Images
Videos
Spreadsheets
Emails
What are the three main components of the data science process?
Data, Model, Code
Data, Insight, Visualization
Collection, Cleaning, Analysis
Cleaning, Analysis, Report
Which tool is widely used for data visualization?
TensorFlow
Matplotlib
Hadoop
SQL
What is the purpose of SQL in data science?
Creating visualizations
Managing and querying databases
Training machine learning models
None of the above
In probability, what is the chance of getting a head when flipping a fair coin?
0.5
1
0.25
2
What does the term 'standard deviation' measure?
The average of data
The spread of data from the mean
The highest value in the data
The range of the data
What does 'normalization' in data preprocessing aim to achieve?
Reduce data size
Scale values to a specific range
Remove duplicate values
Generate random values
Why is data visualization important?
To analyze data trends
To convert data into databases
To delete unnecessary data
To preprocess raw data
