10.11 - Common Challenges in Time Series
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Practice Questions
Test your understanding with targeted questions
Define missing data in time series analysis.
💡 Hint: Think about data points that are not recorded.
What is an outlier?
💡 Hint: Consider extreme values that stand apart.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is a common issue caused by missing data?
💡 Hint: Consider how absence affects prediction ability.
True or False: Outliers should always be removed from a dataset to improve model accuracy.
💡 Hint: Think about the nature of outliers.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You are working with a sales forecasting model, and you notice that every December, sales spike unusually due to holiday trends. How would you handle these spikes when defining outliers?
💡 Hint: Consider seasonality patterns and regular trends.
A company observes that customer behavior is changing significantly over the years, reflected in their purchase patterns. How could they identify and address concept drift in their forecasting models?
💡 Hint: Think about continuous validation and adaptation.
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