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