WorksheetsDataScience-5-Tools
Total questions: 12
Worksheet time: 4mins
Name
Class
Date
1.
1. What is the main purpose of train_test_split in machine learning?
a)
To visualize data
b)
To train the model faster
c)
To divide data into training and testing sets
d)
To scale the data
2.
2. Which library provides LogisticRegression in Python?
a)
pandas
b)
NumPy
c)
seaborn
d)
scikit-learn
3.
3. What type of problem is lung cancer detection using "Yes/No" labels?
a)
Regression
b)
Classification
c)
Clustering
d)
Optimization
4.
4. Which metric shows the percentage of correct predictions?
a)
Recall
b)
Precision
c)
Accuracy
d)
F1-score
5.
5. What does fit() function do in scikit-learn models?
a)
Predicts new values
b)
Evaluates the model
c)
Trains the model on data
d)
Splits the data
6.
6. What is the output of model.predict(X_test)?
a)
Accuracy score
b)
Classification report
c)
Predicted labels (0 or 1)
d)
Loss function
7.
7. Which of the following is a programming language used in data science?
a)
Tableau
b)
Python
c)
Power BI
d)
Excel
8.
8. What is Jupyter Notebook mainly used for?
a)
Data storage
b)
Data visualization only
c)
Interactive coding and data analysis
d)
Web development
9.
9. Which tool is most commonly used for statistical computing and graphics?
a)
R
b)
KNIME
c)
Google Colab
d)
Apache Spark
10.
10. What is Apache Spark best used for?
a)
Data encryption
b)
Small-scale data storage
c)
Real-time big data processing
d)
Data entry
11.
11. Which of the following is a Business Intelligence (BI) tool?
a)
SAS
b)
Python
c)
Jupyter
d)
Power BI
12.
12. What is the primary use of Tableau in data science?
a)
Model training
b)
Model evaluation
c)
Data cleaning
d)
Visualizing and exploring data
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