Time-Series-and-Forecasting

Time Series Model

Implemented a SARIMA time series model in python for Monthly Rainfall Data of the last 114 years in India.
Using the PACF Interpolation techniques, missing values were internally interpolated to maintain the full data.
Using the Dickey-Fuller Test, data was stationarized at first to implement the SARIMA model.
Using the Box-Jenkins Algorithm, predictive forecasting for the next month was achieved.

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README.md		README.md
Time Series.pdf		Time Series.pdf
Time Series.py		Time Series.py