Inflation Rate Forecasting of China using ARIMA and FBProphet model in Python
In this Learn by Coding example, you will learn how to perform a Time Series Forecasting using ARIMA & FBProphet modeling techniques in Python for China Inflation Rate Forecast. We will also learn how to differentiate original dataset to make to stationary as well as derive KPSS & ADF statistics. We will plot the auto-correlation and partial auto correlation as well. The end-to-end example is given below to forecast inflation rate of China for the next decade.
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