The correct answer is B
Which type of machine learning technique is best suited for supervised learning tasks?
Which of the following scenarios would benefit most from using time series analysis with seasonal decomposition?
During the data analysis process, which step is crucial for ensuring data accuracy before any modeling or interpretation?
Which time series application would most likely require ARIMA modeling for accurate forecasting?
When performing time series decomposition , which method separates data into additive components?
Which of the following is an example of metadata in data management?
In a machine learning experiment, the company wants to predict future sales based on advertising spend. What is the dependent variable in this scenario?
In developing a fraud detection model for online transactions, a data analyst should use a technique capable of identifying anomalous patterns. Which of...
Which SDLC model integrates testing at every phase of development, ensuring defects are identified early?
In the context of data analysis, which of the following best describes trend analysis?
