Unsupervised Learning and Predictive Analytics

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Questions and Answers

What is the primary goal of evaluating and validating predictive models?

  • To ensure the effectiveness and reliability of the models (correct)
  • To identify patterns in labeled data
  • To identify customer segments
  • To detect fraud in financial transactions

What is a common challenge in predictive analytics?

  • Customer segmentation
  • Detecting fraud in financial transactions
  • Ensuring data quality (correct)
  • Predicting stock prices

In healthcare, what is a common application of predictive analytics?

  • Predicting stock prices
  • Customer segmentation
  • Supply chain optimization
  • Disease diagnosis (correct)

In the context of finance, what is a common application of predictive analytics?

<p>Predicting stock prices (B)</p> Signup and view all the answers

What is a common application of predictive analytics in marketing?

<p>Customer segmentation (D)</p> Signup and view all the answers

What is a common challenge in predictive analytics related to data quality?

<p>Ensuring data reliability and completeness (C)</p> Signup and view all the answers

What is the primary goal of predictive analytics?

<p>To answer the question, 'What is likely to happen in the future?' (A)</p> Signup and view all the answers

Which type of predictive model is most suitable for stock market prediction?

<p>Time Series model (D)</p> Signup and view all the answers

What type of learning is used in predictive analytics where the model learns from labeled data?

<p>Supervised learning (A)</p> Signup and view all the answers

What is the primary application of classification models in predictive analytics?

<p>Spam detection (A)</p> Signup and view all the answers

Which type of predictive model is most suitable for customer segmentation?

<p>Clustering model (D)</p> Signup and view all the answers

What is the primary application of time series models in predictive analytics?

<p>Stock market prediction (C)</p> Signup and view all the answers

Which of the following is NOT a key component of predictive analytics?

<p>Estimating population parameters (D)</p> Signup and view all the answers

In stock market prediction, what is the main application of confidence intervals?

<p>Providing a range of possible stock prices (A)</p> Signup and view all the answers

In fraud detection, how can hypothesis testing be used?

<p>To determine whether there is a statistically significant difference in transactions (D)</p> Signup and view all the answers

In spam detection, what is the main application of predictive analytics?

<p>Developing models to detect spam emails (B)</p> Signup and view all the answers

In customer segmentation, what is the main application of confidence intervals?

<p>Estimating the average income of a customer segment (C)</p> Signup and view all the answers

In disease prediction, how can predictive analytics be used?

<p>To forecast the number of future disease cases (D)</p> Signup and view all the answers

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