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IBM Watson Data Scientist v1 Sample Questions:

1. When using pandas in a Jupyter notebook for exploratory data analysis, what is a common practice?

A) Utilizing pandas to clean and transform data
B) Avoiding the use of visualizations to understand data
C) Ignoring missing values in the dataset
D) Only analyzing datasets with less than 100 rows

2. Which search algorithm is known for its exhaustive search over a specified parameter space for hyperparameter tuning?

A) Grid Search
B) Binary Search
C) Sequential Search
D) Random Search

3. Which metric is commonly used to evaluate the performance of a regression model?

A) Precision
B) Accuracy
C) Recall
D) Mean Squared Error (MSE)

4. When implementing cross-validation, which of the following is NOT a common approach?

A) Stratified K-Fold Cross-Validation for imbalanced datasets
B) K-Fold Cross-Validation
C) Leave-One-Out Cross-Validation (LOOCV)
D) Using the entire dataset as both the training and the test set in each iteration

5. The ROC curve is a graphical representation that shows the performance of a classification model at all classification thresholds.
What does ROC stand for?

A) Receiver Operating Characteristic
B) Regression Operation Characteristic
C) Random Output Curve
D) Recall Operation Curve

Solutions: