ECO 101 - lecture 2 - Copy - Copy - Copy

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Rider University *

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401

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Computer Science

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Apr 3, 2024

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3

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**Data Science Test: Assess Your Data Analysis Skills** Welcome to the Data Science Test! This test consists of multiple-choice questions covering various aspects of data science and analysis. Choose the most appropriate answer for each question. Good luck! 1. What is the primary goal of exploratory data analysis (EDA)? a) Predict future outcomes b) Understand the underlying structure of data c) Visualize data in a meaningful way d) Clean and preprocess data 2. Which of the following libraries in Python is commonly used for data manipulation and analysis? a) Tensorflow b) PyTorch c) Pandas d) Matplotlib 3. What is the process of converting categorical variables into numerical representations called? a) Normalization b) Feature engineering c) One-hot encoding d) Standardization 4. Which statistical measure is used to quantify the central tendency of a dataset? a) Variance b) Standard deviation c) Mean d) Median
5. In machine learning, what is the process of evaluating a model's performance on unseen data called? a) Training b) Testing c) Validation d) Prediction 6. Which algorithm is commonly used for classification tasks in machine learning? a) K-means clustering b) Linear regression c) Decision trees d) Principal component analysis 7. What is the purpose of regularization techniques in machine learning models? a) To increase bias and reduce variance b) To reduce bias and increase variance c) To reduce overfitting by penalizing large coefficients d) To increase overfitting by penalizing small coefficients 8. Which method is commonly used for splitting a dataset into training and testing sets? a) Random sampling b) Stratified sampling c) K-fold cross-validation d) Leave-one-out cross-validation 9. What is the term used to describe missing values in a dataset? a) Null values b) NaN values
c) Empty values d) Undefined values 10. What technique is used to visualize the relationship between two continuous variables in a dataset? a) Bar plot b) Scatter plot c) Histogram d) Box plot Once you have selected your answers, scroll down to check your score! Good luck! --- **Answers:** 1. b) Understand the underlying structure of data 2. c) Pandas 3. c) One-hot encoding 4. c) Mean 5. b) Testing 6. c) Decision trees 7. c) To reduce overfitting by penalizing large coefficients 8. a) Random sampling 9. a) Null values 10. b) Scatter plot Let's see how well you performed in the test!
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