DataScience-5-Tools

1. What is the main purpose of train_test_split in machine learning?

• To visualize data

• To train the model faster

• To divide data into training and testing sets

• To scale the data

2. Which library provides LogisticRegression in Python?

• pandas

• NumPy

• seaborn

• scikit-learn

3. What type of problem is lung cancer detection using "Yes/No" labels?

• Regression

• Classification

• Clustering

• Optimization

4. Which metric shows the percentage of correct predictions?

• Recall

• Precision

• Accuracy

• F1-score

5. What does fit() function do in scikit-learn models?

• Predicts new values

• Evaluates the model

• Trains the model on data

• Splits the data

6. What is the output of model.predict(X_test)?

• Accuracy score

• Classification report

• Predicted labels (0 or 1)

• Loss function

7. Which of the following is a programming language used in data science?

• Tableau

• Python

• Power BI

• Excel

8. What is Jupyter Notebook mainly used for?

• Data storage

• Data visualization only

• Interactive coding and data analysis

• Web development

9. Which tool is most commonly used for statistical computing and graphics?

• R

• KNIME

• Google Colab

• Apache Spark

10. What is Apache Spark best used for?

• Data encryption

• Small-scale data storage

• Real-time big data processing

• Data entry