nishantsbi / time_series Goto Github PK

This is my take on Time Series Data. Taking Sunspot data, I have tried to explain every step involved and links are provided for further study. Concept covered:

1. Time series Exploratory Analysis
2. Concepts of different Averages used for approximating TS
3. lag plots
4. Stationarity
5. Autocorrelation/Partial autocorrelation
6. How to select (p,q) for ARIMA models
7. AutoArima
8. Forecasting a few time steps in the future.
9. Many other helping operations in pandas
10. One Non-stationary data is also analyzed where stationarity is achieved through the decomposition and trend is subtracted.ENZ_DATA_CENTER
11. Converting predicted value back to its original scale.