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A data analyst is assessing a dataset with inconsistent categorical entries, such as "USA," "U.S.A," "United States," and "US" for the country field. Wh...
A data analyst at an insurance company is tasked with assessing the probability of fraudulent claims by analyzing customer transaction data and claim hi...
Which of the following forecasting methods is most suitable for data with a linear trend but no seasonality?
A hospital data analyst is tasked with building a model to predict patient readmission rates based on historical data. Which method should the analyst p...
Which machine learning model is most appropriate for detecting spam emails, considering its ability to handle high-dimensional data and probabilistic pr...
Which of the following is an example of semi-structured data ?
During the data analysis process, which of the following steps is primarily focused on removing inaccuracies and ensuring the dataset's reliability?
When performing trend analysis for forecasting sales, which of the following methods is most commonly used to identify future trends based on historical...
Which of the following accurately describes how reinforcement learning differs from supervised learning in machine learning?
When identifying business problems, what is the first step a data analyst should take to ensure clarity and effectiveness in solving the problem?
