Time Series Analysis for Beginner Data Scientists - Time Series Forecasting

Time Series Analysis for Beginner Data Scientists - Time Series Forecasting

Data Science Dojo via YouTube Direct link

Conclusion

17 of 18

17 of 18

Conclusion

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Classroom Contents

Time Series Analysis for Beginner Data Scientists - Time Series Forecasting

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  1. 1 Intro
  2. 2 Cross Sectional VS. Time Series
  3. 3 Why is Time Series Important
  4. 4 Creating Your Time Series Problem
  5. 5 Time Series Components
  6. 6 Decomposition Model
  7. 7 Autoregression
  8. 8 Moving Average
  9. 9 Stationarity and Augmented Dickey-Fuller Test
  10. 10 Integration - ARIMA Model
  11. 11 Residual Analysis
  12. 12 Ljung-Box Test
  13. 13 Aditional Questions
  14. 14 Autocorrelation Function
  15. 15 Interpretating ACF and PACF Plots
  16. 16 Interpreting Seasonal Orders
  17. 17 Conclusion
  18. 18 Q&A

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