Which statistical test is used to determine if there is a significant association between two categorical variables?
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In the context of data ethics, what does "bias mitigation" refer to?
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What does the term "overfitting" mean in machine learning?
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In the CRISP-DM data mining process model, what does "DM" stand for?
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Which Python library is commonly used for natural language processing tasks such as text tokenization and language understanding?
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What is the primary goal of exploratory data analysis (EDA)?
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What does the term "cross-validation" refer to in machine learning?
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What is the main purpose of the K-means clustering algorithm?
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Which data visualization technique is suitable for displaying the distribution of a single numerical variable?
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What does the acronym "SQL" stand for in the context of databases?
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What is the primary purpose of feature scaling in machine learning?
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What is the term for the process of converting text data into numerical form for machine learning?
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What does the acronym "API" stand for in the context of data and software integration?
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In the context of data analysis, what is the primary goal of hypothesis testing?
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What statistical technique is used to estimate population parameters from a sample of data?
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What is the term for the process of finding and correcting errors in a dataset?
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In data science, what does the acronym "ETL" stand for?
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What is the primary goal of A/B testing in data analysis?
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In the context of machine learning, what is the purpose of regularization techniques such as L1 and L2 regularization?
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What is the term for the process of converting categorical data into numerical form for machine learning?
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