Machine Learning

Time Series Analysis and Forecasting

Interview questions on Time Series Analysis and Forecasting.

17 questions

All subtopics Introduction Time Series Graphics Time Series Decomposition Benchmark Forecasting Methods Time Series Regression Models Exponential Smoothing ARIMA Models Dynamic regression models Prophet Model Vector Autoregressions

Time Series Graphics

Q1. Which is the most common plot in time series EDA?

Time Series Graphics

Q2. What is the difference between seasonal plot and time plot?

Time Series Graphics

Q3. What is the difference between seasonal plot and time plot? (Part 2)

Time Series Graphics

Q4. What is the benefit of seasonal plots?

Time Series Graphics

Q5. What is seasonal subseries plots?

Time Series Graphics

Q6. What is seasonal subseries plots? (Part 2)

Time Series Graphics

Q7. Can we use scatter plots for time series EDA?

Time Series Graphics

Q8. What is the difference between correlation and autocorrelation?

Time Series Graphics

Q9. What is the autocorrelation function (ACF)?

Time Series Graphics

Q10. Write the expression for autocorrelation?

Time Series Graphics

Q11. Define following terms: (Part 2)

Trend
Seasonal
Cyclic

Time Series Graphics

Q12. How can we check for trend in time series data using ACF plots?

Time Series Graphics

Q13. How can we check for seasonality in time series data using ACF plots?

Time Series Graphics

Q14. How does the ACF plot looks like if data has both trend and seasonality?

Time Series Graphics

Q15. What does white noise mean in time series?

Time Series Graphics

Q16. What are the statistical properties of white noise?

Time Series Graphics

Time Series Analysis and Forecasting

Q1. Which is the most common plot in time series EDA?

Q2. What is the difference between seasonal plot and time plot?

Q3. What is the difference between seasonal plot and time plot? (Part 2)

Q4. What is the benefit of seasonal plots?

Q5. What is seasonal subseries plots?

Q6. What is seasonal subseries plots? (Part 2)

Q7. Can we use scatter plots for time series EDA?

Q8. What is the difference between correlation and autocorrelation?

Q9. What is the autocorrelation function (ACF)?

Q10. Write the expression for autocorrelation?

Q11. Define following terms: (Part 2)

Q12. How can we check for trend in time series data using ACF plots?

Q13. How can we check for seasonality in time series data using ACF plots?

Q14. How does the ACF plot looks like if data has both trend and seasonality?

Q15. What does white noise mean in time series?

Q16. What are the statistical properties of white noise?

Q17. How could you check if the given time series is white noise?