What are the pros of time-series forecasting and compare Auto Regressive Integrated Moving Average (ARIMA) and Holt-Winters?
Primary Response: Within the Discussion Board area, write 300–500 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
For this Discussion Board, please complete the following:
Time series algorithms are great for forecasting when a time component is involved. It could be used to see how economics will evolve over time. Make use of both time-series algorithms and those that predict credit card fraud.
• What are the pros of time-series forecasting and compare Auto Regressive Integrated Moving Average (ARIMA) and Holt-Winters?
• What are the cons of time-series forecasting?
• Describe a personal experience where Holt–Winters may have been applicable.
• What is a common algorithm that can be used to categorize and predict credit card fraud and is it used?
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