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Unsupervised Learning and Predictive Analytics

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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?

Predicting stock prices Signup and view all the answers

What is a common application of predictive analytics in marketing?

Customer segmentation Signup and view all the answers

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

Ensuring data reliability and completeness Signup and view all the answers

What is the primary goal of predictive analytics?

To answer the question, 'What is likely to happen in the future?' Signup and view all the answers

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

Time Series model Signup and view all the answers

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

Supervised learning Signup and view all the answers

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

Spam detection Signup and view all the answers

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

Clustering model Signup and view all the answers

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

Stock market prediction Signup and view all the answers

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

Estimating population parameters Signup and view all the answers

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

Providing a range of possible stock prices Signup and view all the answers

In fraud detection, how can hypothesis testing be used?

To determine whether there is a statistically significant difference in transactions Signup and view all the answers

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

Developing models to detect spam emails Signup and view all the answers

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

Estimating the average income of a customer segment Signup and view all the answers

In disease prediction, how can predictive analytics be used?

To forecast the number of future disease cases Signup and view all the answers