TimeSeriesAnalysis-using-Python

1. Import and setup Python Libraries
2. Inspect the time series (Stationarity, seasonality, cyclicality, trend and noise)
3. Linear Models
4. Log-Linear Models
5. Autoregressive Models - AR(p)
6. Moving Average Models - MA(q)
7. Autoregressive Moving Average Models - ARMA(p,q)
8. Autoregressive Integrated Moving Average Models - ARIMA(p, d, q)
9. Autoregressive Conditionally Heteroskedastic Models - ARCH(p)
10. Generalized Autoregressive Conditionally Heteroskedastic Models - GARCH(p,q)